Data Entry Jobs in UAE

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Specialist - Software Engineering based in United Arab Emirates.<br><br>This role offers the opportunity to design and build scalable cloud-native applications within a modern engineering environment.<br><br>You will contribute across the full software development lifecycle, from backend services and APIs to frontend experiences and cloud infrastructure.<br><br>The position focuses on developing high-performing solutions using . NET technologies, AWS services, and Agile delivery practices.<br><br>You will collaborate with distributed teams to deliver reliable, secure, and observable applications that support critical business operations.<br><br>This is an impactful opportunity for an engineer who enjoys solving complex technical challenges and working with innovative cloud architectures.<br><br>The role combines hands-on development, continuous improvement, and collaboration across engineering and technology teams.<br><br>Accountabilities<br><br>Design, develop, test, and deploy scalable full-stack applications using . NET Core, C#, AWS cloud services, and modern software engineering practices. Build and maintain cloud-native applications, including backend services, frontend components, database integrations, and serverless solutions. Develop and integrate RESTful APIs while ensuring proper documentation, scalability, security, and performance using tools such as Swagger/Open API. Implement AWS-based solutions using services including API Gateway, Lambda, Cloud Watch, X-Ray, and event-driven architectures. Consume and implement infrastructure templates using AWS CDK in collaboration with cloud engineering teams. Build, maintain, and optimize CI/CD pipelines using Git-based workflows to support efficient application delivery. Apply automated testing practices, including unit testing frameworks such as NUnit or x Unit, while maintaining strong code quality and test coverage. Follow Test-Driven Development (TDD) principles and contribute to continuous improvement across engineering processes. Participate in Agile and SAFe ceremonies, including sprint planning, reviews, retrospectives, and Program Increment (PI) planning activities. Collaborate with distributed global teams to support solution design discussions, architecture reviews, performance optimization, and observability improvements.<br><br>Requirements<br><br>5-8 years of professional software development experience with strong full-stack engineering expertise. Advanced hands-on experience with . NET Core 6/8, C#, backend development, and scalable application design. Strong knowledge of SQL, including query development, database interactions, and scripting. Experience developing APIs using AWS serverless and event-driven architectures. Practical experience with AWS services such as API Gateway, Lambda, Cloud Watch, X-Ray, and related cloud-native technologies. Experience using AWS CDK for infrastructure provisioning and consuming cloud infrastructure templates. Strong understanding of RESTful API design principles and API documentation standards. Experience creating and maintaining CI/CD pipelines and working with Git-based development workflows. Familiarity with automated testing frameworks, Test-Driven Development practices, and software quality standards. Experience working in Agile or SAFe environments, including sprint ceremonies and cross-functional collaboration. Excellent written and verbal English communication skills with the ability to work effectively in globally distributed teams. Preferred experience includes insurance or claims technology, Guidewire platforms, microservices architectures, distributed systems, and participation in solution design activities. Strong interest in application monitoring, observability, scalability, and performance optimization.<br><br>Benefits<br><br>Fully remote work model aligned with US Pacific Time business hours. Opportunity to work on cloud-native applications using modern AWS and . NET technologies. Exposure to large-scale software engineering practices, Agile methodologies, and distributed collaboration. Professional growth opportunities through hands-on work with advanced cloud architectures and development frameworks. Flexible remote environment designed to support productivity and collaboration across global teams. Opportunity to contribute to impactful technology solutions while working with experienced engineering professionals.<br><br>How Jobgether Works<br><br>We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.<br><br>We appreciate your interest and wish you the best!<br><br> Why Apply Through Jobgether?<br><br>Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.<br><br>We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Join BEC Arabia as a Land Surveyor in Makkah and contribute to transformative construction projects across the Kingdom. Utilize your expertise in surveying to ensure precision and quality in some of Saudi Arabia's most iconic developments. Be part of a dynamic team driving the nation's Vision 2030 goals.<br><br>Job Description<br><br>About the Role<br><br>BEC Arabia is seeking Land Surveyors to join our dynamic Construction Department in Makkah. As a Land Surveyor, you will play a pivotal role in ensuring the accuracy and precision of our construction projects, which include commercial buildings, residential mega-projects, and government infrastructure initiatives. Your work will directly contribute to the successful execution of projects aligned with Saudi Vision 2030, including giga-projects and smart city developments.<br><br>In this role, you will collaborate closely with project managers, engineers, and site teams to conduct land surveys, establish control points, and verify construction layouts. You will leverage advanced surveying tools and software to deliver precise measurements and ensure compliance with project specifications and regulatory standards. This position offers an exciting opportunity to work on high-profile projects while advancing your career within one of Saudi Arabia's leading construction firms.<br><br>BEC Arabia values professional growth and innovation. As part of our team, you will gain exposure to cutting-edge technologies and methodologies, including Building Information Modeling (BIM) and digital construction practices. Join us to make a lasting impact on the Kingdom's infrastructure landscape while building a rewarding career.<br><br>Key Responsibilities<br><br>Conduct topographic, boundary, and construction surveys to establish accurate site measurements. Set out and verify control points, benchmarks, and reference lines for construction activities. Utilize advanced surveying equipment such as total stations, GPS, and laser scanners to capture precise data. Prepare and maintain detailed survey reports, field notes, and as-built drawings. Collaborate with project teams to ensure survey data aligns with project specifications and design plans. Monitor and verify the accuracy of construction layouts and elevations during project execution. Ensure compliance with Saudi Building Code (SBC), municipal regulations, and project-specific requirements. Perform quality assurance checks on survey data to identify and resolve discrepancies. Support the integration of survey data into BIM models and other digital construction platforms. Adhere to safety protocols and ensure the proper use of personal protective equipment (PPE) on-site. Provide technical guidance to junior surveyors and site teams as needed. Maintain and calibrate surveying instruments to ensure optimal performance.<br><br>Required Qualifications<br><br>Bachelor’s Degree or Diploma in Land Surveying, Civil Engineering, or a related field. Minimum of 5 years of experience in land surveying within the construction or infrastructure sectors. Proficiency in using surveying equipment such as total stations, GPS, and laser scanners. Expertise in Auto CAD Civil 3D, Trimble Business Center, or similar software. Familiarity with Saudi Building Code (SBC) and other relevant regulations. Registration with the Saudi Council of Engineers (SCE). Strong understanding of construction layouts, topographic surveys, and as-built documentation. Compliance with GOSI and Saudi Labor Law requirements.<br><br>Preferred Qualifications<br><br>Certification in BIM for Surveyors or related digital construction tools. Experience working on Saudi Vision 2030 giga-projects or similar large-scale developments. Knowledge of LEED, Mostadam, or other green building standards. Advanced expertise in geodetic surveying and 3D laser scanning technologies. Familiarity with Primavera P6 or similar project management software.<br><br>Working Conditions<br><br>Site-based role in Makkah, requiring frequent outdoor work in varying weather conditions. Use of personal protective equipment (PPE) is mandatory on construction sites. Standard working hours with occasional overtime based on project demands. Exposure to dynamic construction environments involving heavy equipment and machinery. Regional travel may be required for project-specific needs.<br><br>What We Offer<br><br>Competitive salary and comprehensive benefits package. Opportunities for career advancement within a leading construction firm. Access to professional training programs and certifications. Exposure to landmark projects contributing to Saudi Vision 2030. A safety-first culture ensuring the well-being of all employees. A diverse and inclusive work environment with a multi-national workforce. Cutting-edge tools and technologies, including BIM and digital construction platforms.<br><br>Join BEC Arabia and take your career to new heights while contributing to the Kingdom’s most ambitious infrastructure projects.<br><br>Required Skills<br><br>Land surveying Auto CAD Civil 3D Trimble Business Center Total stations GPS surveying Construction layout verification<br><br>Preferred Skills<br><br>BIM for Surveyors Geodetic surveying 3D laser scanning LEED standards Primavera P6<br><br>Share this job<br><br>Linked In Twitter Email

The Opportunity<br><br>The Library and Learning Commons Department seeks an incumbent for the position of Digital Content Specialist who is responsible for the technical production, ongoing maintenance, and user support of the Library’s digital platforms and content, with a specific focus on emerging Artificial Intelligence (AI) tools and web-based services. This position supports the library's commitment to innovative service delivery by assisting in the lifecycle of digital initiatives, supporting the full lifecycle of digital initiatives, from planning and development through deployment, maintenance, and user support. Digital Content Specialist ensures the stability and functionality of the library’s digital platforms, web applications, and emerging technology initiatives.<br><br>The Responsibilities<br><br>Core Functional Accountabilities<br><br>Digital Platform Development<br><br> Participates in the design, development, and maintenance of web-based applications and tools to facilitate content delivery and enhance library operations. Develops and implements scripts or applications (e.g., using Python or R) to automate library tasks, clean metadata, or enhance user experience. Supports the creation and management of digital projects from concept to completion, ensuring milestones for development, testing, and launch are met. Explores potential open-source or commercial solutions for digital innovation, providing technical recommendations for their adoption.<br><br>AI & Emerging Technology Implementation<br><br> Supports the technical development and deployment of library AI tools (including chatbots and automated service points) by assisting with coding, testing, and knowledge base updates. Collaborates with librarians to implement AI-driven approaches for resource discovery, metadata enhancement, collection development, and other library services. Facilitates the setup and maintenance of immersive technology hardware and software (e.g. VR headsets, AR applications, and interactive displays) for student and faculty use. Troubleshoots technical issues related to library AI applications and digital hardware, ensuring high availability and optimal performance.<br><br>Digital Content Production & Instructional Support<br><br> Produces and edits high-quality multimedia learning objects (video, audio, interactive modules) that support the library’s information and media literacy instruction. Creates comprehensive, user-friendly documentation for new digital tools to facilitate adoption. Participates in digital material development, utilizing multimedia tools to create engaging content. Delivers technical training sessions or workshops to faculty and students on the use of library-supported emerging technologies. Ensures proper documentation and maintenance of digital assets and content, maintaining version control, security, and accessibility in compliance with institutional policies.<br><br>Assessment and User Experience<br><br> Collects and analyzes usage data from digital platforms, AI tools, and immersive stations to support data-driven decision-making and service improvements. Conducts usability testing on new digital interfaces and AI interactions to identify issues, recommending specific technical fixes. Analyzes user feedback and data insights, and recommend enhancements to digital content, services, and platforms to improve user experience and effectiveness. Creates APIs and integrations between library systems and external platforms Ensures all developed tools and digital interfaces comply with international accessibility standards and Universal Design principles.<br><br>General Position Accountabilities<br><br> Participate in the library’s public services and technological initiatives, including but not limited to references services, instructions, workshops, and subject guides. Participate in library programming, committees, training, scheduling of classes, and special activities. Works with student workers and provides them with guidance and feedback. Performs other relevant duties as requested.<br><br>The Requirements<br><br>Education<br><br> Bachelor’s degree in Information Technology, Computer Science, Digital Media, or Library Science.<br><br>Note: If the degree is not in Library Science, the candidate must demonstrate equivalent experience working within a library or academic environment.<br><br>Experience<br><br> Minimum 4–6 years of experience in digital content management, library systems, or digital platforms hands-on technical experience in, web application support, or emerging technology implementation. Prior professional experience in library operations, information organization, or higher education technology support. Demonstrated experience with Generative AI tools (LLMs), prompt engineering, or immersive technologies (VR/AR) is strongly preferred.<br><br>Other Essential Requirements<br><br> Programming & Scripting: Proficiency in Python for scripting and automation; familiarity with APIs and data handling. Web Development: Knowledge of HTML5, CSS, Java Script, and XML. Multimedia Production: Proficiency with video editing software (e.g., Adobe Premiere, Camtasia) and digital design tools. Hardware Support: Comfort with operating and troubleshooting hardware such as VR headsets, tablets, and interactive displays.<br><br>Desired Or Preferred Requirements<br><br> Bilingual (Arabic and English)<br><br>The Benefits<br><br>The University's benefits package is highly attractive, with competitive tax-free salaries in the UAE, cash housing, annual vacation airline tickets for the employee and immediate family, educational subsidies for children, and healthcare for the employee and the sponsored family members.<br><br>To Apply<br><br>In addition to completing the online application form, attach a cover letter, a current CV, and the names and contact details of three professional references.<br><br>While we appreciate all applications, you will be contacted only if selected for an interview.<br><br>For further inquiries, please contact Recruitment@zu.ac.ae

The Opportunity<br><br>The Library and Learning Commons Department seeks an incumbent for the position of Digital Content Specialist who is responsible for the technical production, ongoing maintenance, and user support of the Library’s digital platforms and content, with a specific focus on emerging Artificial Intelligence (AI) tools and web-based services. This position supports the library's commitment to innovative service delivery by assisting in the lifecycle of digital initiatives, supporting the full lifecycle of digital initiatives, from planning and development through deployment, maintenance, and user support. Digital Content Specialist ensures the stability and functionality of the library’s digital platforms, web applications, and emerging technology initiatives.<br><br>The Responsibilities<br><br>Core Functional Accountabilities<br><br>Digital Platform Development<br><br> Participates in the design, development, and maintenance of web-based applications and tools to facilitate content delivery and enhance library operations. Develops and implements scripts or applications (e.g., using Python or R) to automate library tasks, clean metadata, or enhance user experience. Supports the creation and management of digital projects from concept to completion, ensuring milestones for development, testing, and launch are met. Explores potential open-source or commercial solutions for digital innovation, providing technical recommendations for their adoption.<br><br>AI & Emerging Technology Implementation<br><br> Supports the technical development and deployment of library AI tools (including chatbots and automated service points) by assisting with coding, testing, and knowledge base updates. Collaborates with librarians to implement AI-driven approaches for resource discovery, metadata enhancement, collection development, and other library services. Facilitates the setup and maintenance of immersive technology hardware and software (e.g. VR headsets, AR applications, and interactive displays) for student and faculty use. Troubleshoots technical issues related to library AI applications and digital hardware, ensuring high availability and optimal performance.<br><br>Digital Content Production & Instructional Support<br><br> Produces and edits high-quality multimedia learning objects (video, audio, interactive modules) that support the library’s information and media literacy instruction. Creates comprehensive, user-friendly documentation for new digital tools to facilitate adoption. Participates in digital material development, utilizing multimedia tools to create engaging content. Delivers technical training sessions or workshops to faculty and students on the use of library-supported emerging technologies. Ensures proper documentation and maintenance of digital assets and content, maintaining version control, security, and accessibility in compliance with institutional policies.<br><br>Assessment and User Experience<br><br> Collects and analyzes usage data from digital platforms, AI tools, and immersive stations to support data-driven decision-making and service improvements. Conducts usability testing on new digital interfaces and AI interactions to identify issues, recommending specific technical fixes. Analyzes user feedback and data insights, and recommend enhancements to digital content, services, and platforms to improve user experience and effectiveness. Creates APIs and integrations between library systems and external platforms Ensures all developed tools and digital interfaces comply with international accessibility standards and Universal Design principles.<br><br>General Position Accountabilities<br><br> Participate in the library’s public services and technological initiatives, including but not limited to references services, instructions, workshops, and subject guides. Participate in library programming, committees, training, scheduling of classes, and special activities. Works with student workers and provides them with guidance and feedback. Performs other relevant duties as requested.<br><br>The Requirements<br><br>Education<br><br> Bachelor’s degree in Information Technology, Computer Science, Digital Media, or Library Science.<br><br>Note: If the degree is not in Library Science, the candidate must demonstrate equivalent experience working within a library or academic environment.<br><br>Experience<br><br> Minimum 4–6 years of experience in digital content management, library systems, or digital platforms hands-on technical experience in, web application support, or emerging technology implementation. Prior professional experience in library operations, information organization, or higher education technology support. Demonstrated experience with Generative AI tools (LLMs), prompt engineering, or immersive technologies (VR/AR) is strongly preferred.<br><br>Other Essential Requirements<br><br> Programming & Scripting: Proficiency in Python for scripting and automation; familiarity with APIs and data handling. Web Development: Knowledge of HTML5, CSS, Java Script, and XML. Multimedia Production: Proficiency with video editing software (e.g., Adobe Premiere, Camtasia) and digital design tools. Hardware Support: Comfort with operating and troubleshooting hardware such as VR headsets, tablets, and interactive displays.<br><br>Desired Or Preferred Requirements<br><br> Bilingual (Arabic and English)<br><br>The Benefits<br><br>The University's benefits package is highly attractive, with competitive tax-free salaries in the UAE, cash housing, annual vacation airline tickets for the employee and immediate family, educational subsidies for children, and healthcare for the employee and the sponsored family members.<br><br>To Apply<br><br>In addition to completing the online application form, attach a cover letter, a current CV, and the names and contact details of three professional references.<br><br>While we appreciate all applications, you will be contacted only if selected for an interview.<br><br>For further inquiries, please contact Recruitment@zu.ac.ae

Job Description<br><br>Job Title: Architecture & Design Quality Assurance Lead<br><br>Job Type: Contract<br><br>Location: Remote<br><br>About This Role<br><br>In this hourly, remote contractor role, you will work as an Architecture&Design Quality Assurance Lead to oversee quality, consistency, and trainer performance across architecture, interior design, urban design, and built-environment AI training projects. You will review AI-generated architecture/design content and trainer/QA work, evaluate output quality against project guidelines, provide precise written feedback, and ensure that all contributors follow the expected quality standards. You will assess work for design accuracy, spatial reasoning, architectural terminology, building-systems awareness, code/safety sensitivity, sustainability considerations, visual/design logic, clarity, formatting, instruction-following, and adherence to project-specific rubrics. You will spot recurring quality issues, communicate updates to trainers and QAs, support onboarding, maintain documentation, and help activate contributors who are not working consistently. This role requires strong architecture/design expertise, strong English communication skills, excellent attention to detail, structured communication, and the ability to manage quality workflows across remote expert teams. This role is a fast-growing AI Data Services company delivering training data for many of the world’s largest AI companies and foundation-model labs. Your architecture/design quality leadership will directly help improve the world’s premier AI models by ensuring that architecture and design training data is accurate, context-aware, visually coherent, practical, well-explained, and aligned with client expectations. Selection process involves an AI interview, a domain-specific task, and an interview with a recruiter. Important: There is no immediate project for this role; however, if qualified, you will be among the first experts we reach out to when relevant opportunities arise. This will also provide you with access to future projects available through our expert network.<br><br>Your profile<br><br>Bachelor’s, Master’s, or professional degree in Architecture, Interior Design, Urban Design, Landscape Architecture, Environmental Design, Industrial Design, Planning, or a closely related field. Strong grasp of the English language to follow project guidelines, communicate with teams, and provide clear written feedback.3+ years of experience in architecture, design, interiors, urban design, design research, construction documentation, teaching, design review, visualization, or related built-environment workflows. Strong understanding of design principles, spatial organization, circulation, scale, proportion, materiality, accessibility, sustainability, building systems, construction logic, and design communication. Ability to evaluate architecture/design content against detailed rubrics and identify issues such as impractical layouts, poor spatial reasoning, code-insensitive suggestions, weak design rationale, accessibility gaps, unsafe assumptions, or unrealistic construction recommendations. Familiarity with tools or methods such as Auto CAD, Revit, Rhino, Sketch Up, Adobe Creative Suite, BIM, construction drawings, precedent analysis, site analysis, rendering, or design presentations is preferred. Experience leading or supporting remote teams of designers, reviewers, annotators, educators, visual QA specialists, or domain experts is strongly preferred. Comfortable working in fast-moving remote environments using tools such as Discord, Google Sheets, Google Docs, trackers, dashboards, and project management systems. Highly detail-oriented and organized, with the ability to maintain style guides, FAQs, trackers, onboarding materials, calibration tasks, and documentation. Experience with AI training, data annotation, LLM evaluation, design QA, visual review, architectural review, or rubric-based review is a strong plus.<br><br>Key Responsibilities<br><br>Quality monitoring: Spot-check architecture/design items, identify quality issues, provide ongoing feedback through DMs, and escalate recurring or critical issues. Design review: Evaluate AI-generated architecture/design explanations, spatial layouts, design concepts, material recommendations, building-system descriptions, accessibility considerations, and design reasoning for accuracy and practicality. Trainer and QA communication: Update trainers and QAs on Discord about new item guidelines, project changes, workflow updates, quality expectations, and architecture/design-specific review standards. Question handling: Respond to trainer/QA questions clearly and promptly, especially around spatial logic, design terminology, accessibility, sustainability, construction feasibility, materials, and rubric interpretation. Trainer/QA activation management: DM contributors who are inactive or not working, encourage activation, track follow-ups, and flag availability issues when needed. Documentation: Create and maintain architecture/design project documentation, including style guides, trackers, FAQs, quality notes, examples, honeypots, calibration tasks, and onboarding materials. Onboarding and training: Schedule and run onboarding/training calls with trainers and QAs to explain project expectations, workflows, rubrics, quality standards, and architecture/design-specific review requirements. Quality alignment: Ensure all trainers and QAs apply architecture/design review guidelines consistently and understand updates as projects evolve. Risk review: Flag unsafe, inaccessible, impractical, misleading, code-insensitive, or poorly contextualized architecture/design recommendations. Process improvement: Identify recurring quality gaps, propose workflow improvements, and help build scalable QA processes for architecture/design AI training projects.

Job Description<br><br>Job Title: Mathematics Quality Assurance Lead<br><br>Job Type: Contract<br><br>Location: Remote<br><br>About This Role<br><br>In this hourly, remote contractor role, you will work as a Mathematics Quality Assurance Lead to oversee quality, consistency, and trainer performance across mathematics AI training projects. You will review AI-generated math content and trainer/QA work, evaluate output quality against project guidelines, provide precise written feedback, and ensure that all contributors follow the expected quality standards. You will assess work for mathematical accuracy, logical reasoning, calculation correctness, proof validity, notation quality, clarity, formatting, instruction-following, and adherence to project-specific rubrics. You will spot recurring quality issues, communicate updates to trainers and QAs, support onboarding, maintain documentation, and help activate contributors who are not working consistently. This role requires strong mathematics expertise, strong English communication skills, excellent attention to detail, structured communication, and the ability to manage quality workflows across remote technical teams. This role is a fast-growing AI Data Services company delivering training data for many of the world’s largest AI companies and foundation-model labs. Your mathematics quality leadership will directly help improve the world’s premier AI models by ensuring that math training data is accurate, logically sound, clearly explained, well-documented, and aligned with client expectations. Important: There is no immediate project for this role; however, if qualified, you will be among the first experts we reach out to when relevant opportunities arise. This will also provide you with access to future projects available through our expert network.<br><br>Your profile<br><br>Bachelor’s, Master’s, or PhD degree in Mathematics, Applied Mathematics, Statistics, Physics, Engineering, Computer Science, Mathematics Education, or a closely related quantitative field. Strong grasp of the English language to follow project guidelines, communicate with teams, and provide clear mathematical feedback in English.3+ years of professional experience in mathematics, teaching, tutoring, research, quantitative analysis, technical writing, curriculum development, problem creation, assessment design, or math-content review. Strong understanding of core mathematics topics such as algebra, geometry, trigonometry, calculus, linear algebra, discrete mathematics, probability, statistics, number theory, combinatorics, differential equations, and mathematical proofs. Ability to evaluate math content against detailed rubrics and identify issues such as incorrect assumptions, flawed reasoning, invalid proofs, calculation errors, notation problems, missing steps, hallucinated facts, or incomplete explanations. Comfortable reviewing both conceptual explanations and step-by-step solutions, including whether each step logically follows from the previous one. Familiarity with mathematical tools or workflows such as LaTeX, Python, MATLAB, R, Wolfram Alpha/Mathematica, Geo Gebra, Desmos, spreadsheet modeling, or symbolic computation tools is preferred. Experience leading or supporting remote teams of trainers, annotators, reviewers, educators, technical writers, or QAs is strongly preferred. Comfortable working in fast-moving remote environments using tools such as Discord, Google Sheets, Google Docs, trackers, dashboards, and project management systems. Highly detail-oriented and organized, with the ability to maintain style guides, FAQs, trackers, onboarding materials, honeypots, calibration tasks, and other quality documentation. Experience with AI training, data annotation, large language models, prompt/response evaluation, mathematical content QA, or rubric-based LLM evaluation is a strong plus.<br><br>Key responsibilities<br><br>Quality monitoring: Spot-check mathematics items, identify quality issues, provide ongoing feedback through DMs, and escalate recurring or critical issues. Mathematical review: Evaluate AI-generated math explanations, proofs, derivations, calculations, word-problem solutions, diagrams/descriptions, and step-by-step reasoning for correctness and clarity. Trainer and QA communication: Update trainers and QAs on Discord about new item guidelines, project changes, workflow updates, quality expectations, and math-specific review standards. Question handling: Respond to trainer/QA questions clearly and promptly, especially around reasoning validity, notation, assumptions, solution methods, proof structure, formatting, and rubric interpretation. Trainer/QA activation management: DM contributors who are inactive or not working, encourage activation, track follow-ups, and flag availability issues when needed. Documentation: Create and maintain mathematics project documentation, including style guides, trackers, FAQs, quality notes, examples, honeypots, calibration tasks, and onboarding materials. Onboarding and training: Schedule and run onboarding/training calls with trainers and QAs to explain project expectations, workflows, rubrics, quality standards, and mathematics-specific review requirements. Quality alignment: Ensure all trainers and QAs apply mathematics guidelines consistently and understand updates as projects evolve. Error-pattern analysis: Identify recurring issues such as skipped reasoning steps, invalid simplifications, wrong formulas, notation inconsistencies, arithmetic mistakes, or answers that are correct but poorly justified. Process improvement: Identify recurring quality gaps, propose workflow improvements, and help build scalable QA processes for mathematics AI training projects.

Job Description<br><br>Job Title: Mathematics Quality Assurance Lead<br><br>Job Type: Contract<br><br>Location: Remote<br><br>About This Role<br><br>In this hourly, remote contractor role, you will work as a Mathematics Quality Assurance Lead to oversee quality, consistency, and trainer performance across mathematics AI training projects. You will review AI-generated math content and trainer/QA work, evaluate output quality against project guidelines, provide precise written feedback, and ensure that all contributors follow the expected quality standards. You will assess work for mathematical accuracy, logical reasoning, calculation correctness, proof validity, notation quality, clarity, formatting, instruction-following, and adherence to project-specific rubrics. You will spot recurring quality issues, communicate updates to trainers and QAs, support onboarding, maintain documentation, and help activate contributors who are not working consistently. This role requires strong mathematics expertise, strong English communication skills, excellent attention to detail, structured communication, and the ability to manage quality workflows across remote technical teams. This role is a fast-growing AI Data Services company delivering training data for many of the world’s largest AI companies and foundation-model labs. Your mathematics quality leadership will directly help improve the world’s premier AI models by ensuring that math training data is accurate, logically sound, clearly explained, well-documented, and aligned with client expectations. Important: There is no immediate project for this role; however, if qualified, you will be among the first experts we reach out to when relevant opportunities arise. This will also provide you with access to future projects available through our expert network.<br><br>Your profile<br><br>Bachelor’s, Master’s, or PhD degree in Mathematics, Applied Mathematics, Statistics, Physics, Engineering, Computer Science, Mathematics Education, or a closely related quantitative field. Strong grasp of the English language to follow project guidelines, communicate with teams, and provide clear mathematical feedback in English.3+ years of professional experience in mathematics, teaching, tutoring, research, quantitative analysis, technical writing, curriculum development, problem creation, assessment design, or math-content review. Strong understanding of core mathematics topics such as algebra, geometry, trigonometry, calculus, linear algebra, discrete mathematics, probability, statistics, number theory, combinatorics, differential equations, and mathematical proofs. Ability to evaluate math content against detailed rubrics and identify issues such as incorrect assumptions, flawed reasoning, invalid proofs, calculation errors, notation problems, missing steps, hallucinated facts, or incomplete explanations. Comfortable reviewing both conceptual explanations and step-by-step solutions, including whether each step logically follows from the previous one. Familiarity with mathematical tools or workflows such as LaTeX, Python, MATLAB, R, Wolfram Alpha/Mathematica, Geo Gebra, Desmos, spreadsheet modeling, or symbolic computation tools is preferred. Experience leading or supporting remote teams of trainers, annotators, reviewers, educators, technical writers, or QAs is strongly preferred. Comfortable working in fast-moving remote environments using tools such as Discord, Google Sheets, Google Docs, trackers, dashboards, and project management systems. Highly detail-oriented and organized, with the ability to maintain style guides, FAQs, trackers, onboarding materials, honeypots, calibration tasks, and other quality documentation. Experience with AI training, data annotation, large language models, prompt/response evaluation, mathematical content QA, or rubric-based LLM evaluation is a strong plus.<br><br>Key responsibilities<br><br>Quality monitoring: Spot-check mathematics items, identify quality issues, provide ongoing feedback through DMs, and escalate recurring or critical issues. Mathematical review: Evaluate AI-generated math explanations, proofs, derivations, calculations, word-problem solutions, diagrams/descriptions, and step-by-step reasoning for correctness and clarity. Trainer and QA communication: Update trainers and QAs on Discord about new item guidelines, project changes, workflow updates, quality expectations, and math-specific review standards. Question handling: Respond to trainer/QA questions clearly and promptly, especially around reasoning validity, notation, assumptions, solution methods, proof structure, formatting, and rubric interpretation. Trainer/QA activation management: DM contributors who are inactive or not working, encourage activation, track follow-ups, and flag availability issues when needed. Documentation: Create and maintain mathematics project documentation, including style guides, trackers, FAQs, quality notes, examples, honeypots, calibration tasks, and onboarding materials. Onboarding and training: Schedule and run onboarding/training calls with trainers and QAs to explain project expectations, workflows, rubrics, quality standards, and mathematics-specific review requirements. Quality alignment: Ensure all trainers and QAs apply mathematics guidelines consistently and understand updates as projects evolve. Error-pattern analysis: Identify recurring issues such as skipped reasoning steps, invalid simplifications, wrong formulas, notation inconsistencies, arithmetic mistakes, or answers that are correct but poorly justified. Process improvement: Identify recurring quality gaps, propose workflow improvements, and help build scalable QA processes for mathematics AI training projects.

Job Description<br><br>Job Title: Sociology Quality Assurance Lead<br><br>Job Type: Contract<br><br>Location: Remote<br><br>About This Role<br><br>In this hourly, remote contractor role, you will work as a Sociology Quality Assurance Lead to oversee quality, consistency, and trainer performance across sociology-focused AI training projects. You will review AI-generated sociology content and trainer/QA work, evaluate output quality against project guidelines, provide precise written feedback, and ensure that all contributors follow the expected quality standards. You will assess work for sociological accuracy, theory application, research literacy, social context, methodological rigor, ethical awareness, bias sensitivity, clarity, formatting, instruction-following, and adherence to project-specific rubrics. You will spot recurring quality issues, communicate updates to trainers and QAs, support onboarding, maintain documentation, and help activate contributors who are not working consistently. This role requires strong sociology expertise, strong English communication skills, excellent attention to detail, structured communication, and the ability to manage quality workflows across remote expert teams. This role is a fast-growing AI Data Services company delivering training data for many of the world’s largest AI companies and foundation-model labs. Your sociology quality leadership will directly help improve the world’s premier AI models by ensuring that sociology training data is accurate, nuanced, ethically aware, research-informed, and aligned with client expectations. Selection process involves an AI interview, a domain-specific task, and an interview with a recruiter. Important: There is no immediate project for this role; however, if qualified, you will be among the first experts we reach out to when relevant opportunities arise. This will also provide you with access to future projects available through our expert network.<br><br>Your Profile<br><br>Bachelor’s, Master’s, or PhD degree in Sociology, Social Sciences, Social Research, Demography, Criminology, Gender Studies, Ethnic Studies, Public Policy, Anthropology, or a closely related field. Strong grasp of the English language to follow project guidelines, communicate with teams, and provide clear written feedback.3+ years of experience in sociology research, teaching, social policy analysis, qualitative/quantitative research, academic writing, social science review, community research, or related workflows. Strong understanding of sociological theory, social institutions, inequality, stratification, race/ethnicity, gender, class, culture, deviance, organizations, social change, demography, and research methods. Ability to evaluate sociology content against detailed rubrics and identify issues such as unsupported generalizations, stereotyping, methodological flaws, weak causal claims, oversimplification, biased framing, or inaccurate use of sociological concepts. Familiarity with areas such as survey research, interviews, ethnography, statistical analysis, social policy, urban sociology, family sociology, education, health disparities, work/organizations, or criminology is preferred. Experience leading or supporting remote teams of researchers, educators, analysts, reviewers, annotators, or QAs is strongly preferred. Comfortable working in fast-moving remote environments using tools such as Discord, Google Sheets, Google Docs, trackers, dashboards, and project management systems. Highly detail-oriented and organized, with the ability to maintain style guides, FAQs, trackers, onboarding materials, calibration tasks, and documentation. Experience with AI training, data annotation, LLM evaluation, social science QA, academic review, or rubric-based review is a strong plus.<br><br>Key Responsibilities<br><br>Quality monitoring: Spot-check sociology items, identify quality issues, provide ongoing feedback through DMs, and escalate recurring or critical issues. Sociology review: Evaluate AI-generated sociology explanations, theory applications, research summaries, social policy discussions, demographic interpretations, and reasoning for accuracy and nuance. Trainer and QA communication: Update trainers and QAs on Discord about new item guidelines, project changes, workflow updates, quality expectations, and sociology-specific review standards. Question handling: Respond to trainer/QA questions clearly and promptly, especially around sociological concepts, social theory, research methods, inequality, culture, ethics, bias, and rubric interpretation. Trainer/QA activation management: DM contributors who are inactive or not working, encourage activation, track follow-ups, and flag availability issues when needed. Documentation: Create and maintain sociology project documentation, including style guides, trackers, FAQs, quality notes, examples, honeypots, calibration tasks, and onboarding materials. Onboarding and training: Schedule and run onboarding/training calls with trainers and QAs to explain project expectations, workflows, rubrics, quality standards, and sociology-specific review requirements. Quality alignment: Ensure all trainers and QAs apply sociology review guidelines consistently and understand updates as projects evolve. Bias and ethics review: Flag stereotyping, stigmatizing language, unsupported claims about social groups, weak causal reasoning, or ethically problematic social analysis. Process improvement: Identify recurring quality gaps, propose workflow improvements, and help build scalable QA processes for sociology AI training projects.

Job Description<br><br>Job Title: Anthropology Quality Assurance Lead<br><br>Job Type: Contract<br><br>Location: Remote<br><br>About This Role<br><br>In this hourly, remote contractor role, you will work as an Anthropology Quality Assurance Lead to oversee quality, consistency, and trainer performance across anthropology-focused AI training projects. You will review AI-generated anthropology content and trainer/QA work, evaluate output quality against project guidelines, provide precise written feedback, and ensure that all contributors follow the expected quality standards. You will assess work for anthropological accuracy, cultural context, theory application, ethnographic sensitivity, methodological rigor, ethical awareness, bias sensitivity, terminology quality, clarity, formatting, instruction-following, and adherence to project-specific rubrics. You will spot recurring quality issues, communicate updates to trainers and QAs, support onboarding, maintain documentation, and help activate contributors who are not working consistently. This role requires strong anthropology expertise, strong English communication skills, excellent attention to detail, structured communication, and the ability to manage quality workflows across remote expert teams. This role is a fast-growing AI Data Services company delivering training data for many of the world’s largest AI companies and foundation-model labs. Your anthropology quality leadership will directly help improve the world’s premier AI models by ensuring that anthropology training data is accurate, culturally sensitive, ethically aware, research-informed, and aligned with client expectations. Selection process involves an AI interview, a domain-specific task, and an interview with a recruiter. Important: There is no immediate project for this role; however, if qualified, you will be among the first experts we reach out to when relevant opportunities arise. This will also provide you with access to future projects available through our expert network.<br><br>Your profile<br><br>Bachelor’s, Master’s, or PhD degree in Anthropology, Cultural Anthropology, Archaeology, Biological Anthropology, Linguistic Anthropology, Sociology, Area Studies, Museum Studies, or a closely related field. Strong grasp of the English language to follow project guidelines, communicate with teams, and provide clear written feedback.3+ years of experience in anthropology research, teaching, ethnography, archaeology, museum/heritage work, cultural analysis, academic writing, fieldwork, or related workflows. Strong understanding of anthropological theory, cultural relativism, ethnographic methods, kinship, ritual, language/culture relationships, material culture, human evolution, archaeology, ethics, and representation. Ability to evaluate anthropology content against detailed rubrics and identify issues such as cultural stereotyping, ethnocentrism, unsupported generalizations, outdated terminology, methodological errors, weak contextualization, or ethically problematic framing. Familiarity with areas such as ethnography, participant observation, archaeological methods, human origins, kinship systems, religion/ritual, migration, colonialism, Indigenous studies, museum ethics, or linguistic anthropology is preferred. Experience leading or supporting remote teams of researchers, educators, reviewers, fieldworkers, annotators, or QAs is strongly preferred. Comfortable working in fast-moving remote environments using tools such as Discord, Google Sheets, Google Docs, trackers, dashboards, and project management systems. Highly detail-oriented and organized, with the ability to maintain style guides, FAQs, trackers, onboarding materials, calibration tasks, and documentation. Experience with AI training, data annotation, LLM evaluation, social science QA, academic review, cultural sensitivity review, or rubric-based review is a strong plus.<br><br>Key responsibilities<br><br>Quality monitoring: Spot-check anthropology items, identify quality issues, provide ongoing feedback through DMs, and escalate recurring or critical issues. Anthropology review: Evaluate AI-generated anthropology explanations, ethnographic summaries, cultural comparisons, archaeology discussions, human evolution explanations, and social/cultural reasoning for accuracy and sensitivity. Trainer and QA communication: Update trainers and QAs on Discord about new item guidelines, project changes, workflow updates, quality expectations, and anthropology-specific review standards. Question handling: Respond to trainer/QA questions clearly and promptly, especially around cultural context, anthropological concepts, ethnographic methods, archaeology, human evolution, ethics, representation, and rubric interpretation. Trainer/QA activation management: DM contributors who are inactive or not working, encourage activation, track follow-ups, and flag availability issues when needed. Documentation: Create and maintain anthropology project documentation, including style guides, trackers, FAQs, quality notes, examples, honeypots, calibration tasks, and onboarding materials. Onboarding and training: Schedule and run onboarding/training calls with trainers and QAs to explain project expectations, workflows, rubrics, quality standards, and anthropology-specific review requirements. Quality alignment: Ensure all trainers and QAs apply anthropology review guidelines consistently and understand updates as projects evolve. Bias and ethics review: Flag ethnocentric, stereotyping, culturally insensitive, outdated, unsupported, or ethically problematic anthropology content. Process improvement: Identify recurring quality gaps, propose workflow improvements, and help build scalable QA processes for anthropology AI training projects.

Job Description<br><br>Job Title: Political Science Quality Assurance Lead<br><br>Job Type: Contract<br><br>Location: Remote<br><br>About This Role<br><br>In this hourly, remote contractor role, you will work as a Political Science Quality Assurance Lead to oversee quality, consistency, and trainer performance across political science AI training projects. You will review AI-generated political science content and trainer/QA work, evaluate output quality against project guidelines, provide precise written feedback, and ensure that all contributors follow the expected quality standards. You will assess work for conceptual accuracy, institutional knowledge, comparative context, political theory accuracy, policy reasoning, source awareness, bias sensitivity, clarity, formatting, instruction-following, and adherence to project-specific rubrics. You will spot recurring quality issues, communicate updates to trainers and QAs, support onboarding, maintain documentation, and help activate contributors who are not working consistently. This role requires strong political science expertise, strong English communication skills, excellent attention to detail, structured communication, and the ability to manage quality workflows across remote expert teams. This role is a fast-growing AI Data Services company delivering training data for many of the world’s largest AI companies and foundation-model labs. Your political science quality leadership will directly help improve the world’s premier AI models by ensuring that political science training data is accurate, balanced, well-contextualized, analytically sound, and aligned with client expectations. Selection process involves an AI interview, a domain-specific task, and an interview with a recruiter. Important: There is no immediate project for this role; however, if qualified, you will be among the first experts we reach out to when relevant opportunities arise. This will also provide you with access to future projects available through our expert network.<br><br>Your Profile<br><br>Bachelor’s, Master’s, or PhD degree in Political Science, International Relations, Public Policy, Government, Political Theory, Security Studies, Law, Sociology, Economics, or a closely related social science field. Strong grasp of the English language to follow project guidelines, communicate with teams, and provide clear written feedback.3+ years of experience in political science research, teaching, policy analysis, public affairs, international relations, political writing, academic review, or related analytical workflows. Strong understanding of political institutions, comparative politics, international relations, public policy, political theory, electoral systems, governance, state capacity, civil society, and political behavior. Ability to evaluate political science content against detailed rubrics and identify issues such as oversimplification, ideological bias, unsupported claims, incorrect institutional descriptions, misleading causal reasoning, or weak comparative analysis. Familiarity with areas such as democracy and authoritarianism, political economy, public administration, constitutional systems, electoral politics, conflict studies, international organizations, policy evaluation, or survey research is preferred. Experience leading or supporting remote teams of analysts, researchers, reviewers, educators, annotators, or QAs is strongly preferred. Comfortable working in fast-moving remote environments using tools such as Discord, Google Sheets, Google Docs, trackers, dashboards, and project management systems. Highly detail-oriented and organized, with the ability to maintain style guides, FAQs, trackers, onboarding materials, calibration tasks, and documentation. Experience with AI training, data annotation, LLM evaluation, policy QA, academic review, fact-checking, or rubric-based review is a strong plus.<br><br>Key Responsibilities<br><br>Quality monitoring: Spot-check political science items, identify quality issues, provide ongoing feedback through DMs, and escalate recurring or critical issues. Political science review: Evaluate AI-generated political science explanations, comparative analyses, policy summaries, political theory discussions, institutional descriptions, and reasoning for accuracy and balance. Trainer and QA communication: Update trainers and QAs on Discord about new item guidelines, project changes, workflow updates, quality expectations, and political-science-specific review standards. Question handling: Respond to trainer/QA questions clearly and promptly, especially around institutions, comparative politics, public policy, political theory, international relations, bias, and rubric interpretation. Trainer/QA activation management: DM contributors who are inactive or not working, encourage activation, track follow-ups, and flag availability issues when needed. Documentation: Create and maintain political science project documentation, including style guides, trackers, FAQs, quality notes, examples, honeypots, calibration tasks, and onboarding materials. Onboarding and training: Schedule and run onboarding/training calls with trainers and QAs to explain project expectations, workflows, rubrics, quality standards, and political-science-specific review requirements. Quality alignment: Ensure all trainers and QAs apply political science review guidelines consistently and understand updates as projects evolve. Bias and risk review: Flag misleading, ideologically one-sided, unsupported, outdated, politically inflammatory, or poorly contextualized claims. Process improvement: Identify recurring quality gaps, propose workflow improvements, and help build scalable QA processes for political science AI training projects.

Job Description<br><br>Job Title: Political Science Quality Assurance Lead<br><br>Job Type: Contract<br><br>Location: Remote<br><br>About This Role<br><br>In this hourly, remote contractor role, you will work as a Political Science Quality Assurance Lead to oversee quality, consistency, and trainer performance across political science AI training projects. You will review AI-generated political science content and trainer/QA work, evaluate output quality against project guidelines, provide precise written feedback, and ensure that all contributors follow the expected quality standards. You will assess work for conceptual accuracy, institutional knowledge, comparative context, political theory accuracy, policy reasoning, source awareness, bias sensitivity, clarity, formatting, instruction-following, and adherence to project-specific rubrics. You will spot recurring quality issues, communicate updates to trainers and QAs, support onboarding, maintain documentation, and help activate contributors who are not working consistently. This role requires strong political science expertise, strong English communication skills, excellent attention to detail, structured communication, and the ability to manage quality workflows across remote expert teams. This role is a fast-growing AI Data Services company delivering training data for many of the world’s largest AI companies and foundation-model labs. Your political science quality leadership will directly help improve the world’s premier AI models by ensuring that political science training data is accurate, balanced, well-contextualized, analytically sound, and aligned with client expectations. Selection process involves an AI interview, a domain-specific task, and an interview with a recruiter. Important: There is no immediate project for this role; however, if qualified, you will be among the first experts we reach out to when relevant opportunities arise. This will also provide you with access to future projects available through our expert network.<br><br>Your Profile<br><br>Bachelor’s, Master’s, or PhD degree in Political Science, International Relations, Public Policy, Government, Political Theory, Security Studies, Law, Sociology, Economics, or a closely related social science field. Strong grasp of the English language to follow project guidelines, communicate with teams, and provide clear written feedback.3+ years of experience in political science research, teaching, policy analysis, public affairs, international relations, political writing, academic review, or related analytical workflows. Strong understanding of political institutions, comparative politics, international relations, public policy, political theory, electoral systems, governance, state capacity, civil society, and political behavior. Ability to evaluate political science content against detailed rubrics and identify issues such as oversimplification, ideological bias, unsupported claims, incorrect institutional descriptions, misleading causal reasoning, or weak comparative analysis. Familiarity with areas such as democracy and authoritarianism, political economy, public administration, constitutional systems, electoral politics, conflict studies, international organizations, policy evaluation, or survey research is preferred. Experience leading or supporting remote teams of analysts, researchers, reviewers, educators, annotators, or QAs is strongly preferred. Comfortable working in fast-moving remote environments using tools such as Discord, Google Sheets, Google Docs, trackers, dashboards, and project management systems. Highly detail-oriented and organized, with the ability to maintain style guides, FAQs, trackers, onboarding materials, calibration tasks, and documentation. Experience with AI training, data annotation, LLM evaluation, policy QA, academic review, fact-checking, or rubric-based review is a strong plus.<br><br>Key Responsibilities<br><br>Quality monitoring: Spot-check political science items, identify quality issues, provide ongoing feedback through DMs, and escalate recurring or critical issues. Political science review: Evaluate AI-generated political science explanations, comparative analyses, policy summaries, political theory discussions, institutional descriptions, and reasoning for accuracy and balance. Trainer and QA communication: Update trainers and QAs on Discord about new item guidelines, project changes, workflow updates, quality expectations, and political-science-specific review standards. Question handling: Respond to trainer/QA questions clearly and promptly, especially around institutions, comparative politics, public policy, political theory, international relations, bias, and rubric interpretation. Trainer/QA activation management: DM contributors who are inactive or not working, encourage activation, track follow-ups, and flag availability issues when needed. Documentation: Create and maintain political science project documentation, including style guides, trackers, FAQs, quality notes, examples, honeypots, calibration tasks, and onboarding materials. Onboarding and training: Schedule and run onboarding/training calls with trainers and QAs to explain project expectations, workflows, rubrics, quality standards, and political-science-specific review requirements. Quality alignment: Ensure all trainers and QAs apply political science review guidelines consistently and understand updates as projects evolve. Bias and risk review: Flag misleading, ideologically one-sided, unsupported, outdated, politically inflammatory, or poorly contextualized claims. Process improvement: Identify recurring quality gaps, propose workflow improvements, and help build scalable QA processes for political science AI training projects.

Job Description<br><br>Job Title: Sociology Quality Assurance Lead<br><br>Job Type: Contract<br><br>Location: Remote<br><br>About This Role<br><br>In this hourly, remote contractor role, you will work as a Sociology Quality Assurance Lead to oversee quality, consistency, and trainer performance across sociology-focused AI training projects. You will review AI-generated sociology content and trainer/QA work, evaluate output quality against project guidelines, provide precise written feedback, and ensure that all contributors follow the expected quality standards. You will assess work for sociological accuracy, theory application, research literacy, social context, methodological rigor, ethical awareness, bias sensitivity, clarity, formatting, instruction-following, and adherence to project-specific rubrics. You will spot recurring quality issues, communicate updates to trainers and QAs, support onboarding, maintain documentation, and help activate contributors who are not working consistently. This role requires strong sociology expertise, strong English communication skills, excellent attention to detail, structured communication, and the ability to manage quality workflows across remote expert teams. This role is a fast-growing AI Data Services company delivering training data for many of the world’s largest AI companies and foundation-model labs. Your sociology quality leadership will directly help improve the world’s premier AI models by ensuring that sociology training data is accurate, nuanced, ethically aware, research-informed, and aligned with client expectations. Selection process involves an AI interview, a domain-specific task, and an interview with a recruiter. Important: There is no immediate project for this role; however, if qualified, you will be among the first experts we reach out to when relevant opportunities arise. This will also provide you with access to future projects available through our expert network.<br><br>Your Profile<br><br>Bachelor’s, Master’s, or PhD degree in Sociology, Social Sciences, Social Research, Demography, Criminology, Gender Studies, Ethnic Studies, Public Policy, Anthropology, or a closely related field. Strong grasp of the English language to follow project guidelines, communicate with teams, and provide clear written feedback.3+ years of experience in sociology research, teaching, social policy analysis, qualitative/quantitative research, academic writing, social science review, community research, or related workflows. Strong understanding of sociological theory, social institutions, inequality, stratification, race/ethnicity, gender, class, culture, deviance, organizations, social change, demography, and research methods. Ability to evaluate sociology content against detailed rubrics and identify issues such as unsupported generalizations, stereotyping, methodological flaws, weak causal claims, oversimplification, biased framing, or inaccurate use of sociological concepts. Familiarity with areas such as survey research, interviews, ethnography, statistical analysis, social policy, urban sociology, family sociology, education, health disparities, work/organizations, or criminology is preferred. Experience leading or supporting remote teams of researchers, educators, analysts, reviewers, annotators, or QAs is strongly preferred. Comfortable working in fast-moving remote environments using tools such as Discord, Google Sheets, Google Docs, trackers, dashboards, and project management systems. Highly detail-oriented and organized, with the ability to maintain style guides, FAQs, trackers, onboarding materials, calibration tasks, and documentation. Experience with AI training, data annotation, LLM evaluation, social science QA, academic review, or rubric-based review is a strong plus.<br><br>Key Responsibilities<br><br>Quality monitoring: Spot-check sociology items, identify quality issues, provide ongoing feedback through DMs, and escalate recurring or critical issues. Sociology review: Evaluate AI-generated sociology explanations, theory applications, research summaries, social policy discussions, demographic interpretations, and reasoning for accuracy and nuance. Trainer and QA communication: Update trainers and QAs on Discord about new item guidelines, project changes, workflow updates, quality expectations, and sociology-specific review standards. Question handling: Respond to trainer/QA questions clearly and promptly, especially around sociological concepts, social theory, research methods, inequality, culture, ethics, bias, and rubric interpretation. Trainer/QA activation management: DM contributors who are inactive or not working, encourage activation, track follow-ups, and flag availability issues when needed. Documentation: Create and maintain sociology project documentation, including style guides, trackers, FAQs, quality notes, examples, honeypots, calibration tasks, and onboarding materials. Onboarding and training: Schedule and run onboarding/training calls with trainers and QAs to explain project expectations, workflows, rubrics, quality standards, and sociology-specific review requirements. Quality alignment: Ensure all trainers and QAs apply sociology review guidelines consistently and understand updates as projects evolve. Bias and ethics review: Flag stereotyping, stigmatizing language, unsupported claims about social groups, weak causal reasoning, or ethically problematic social analysis. Process improvement: Identify recurring quality gaps, propose workflow improvements, and help build scalable QA processes for sociology AI training projects.

Job Description<br><br>Job Title: Anthropology Quality Assurance Lead<br><br>Job Type: Contract<br><br>Location: Remote<br><br>About This Role<br><br>In this hourly, remote contractor role, you will work as an Anthropology Quality Assurance Lead to oversee quality, consistency, and trainer performance across anthropology-focused AI training projects. You will review AI-generated anthropology content and trainer/QA work, evaluate output quality against project guidelines, provide precise written feedback, and ensure that all contributors follow the expected quality standards. You will assess work for anthropological accuracy, cultural context, theory application, ethnographic sensitivity, methodological rigor, ethical awareness, bias sensitivity, terminology quality, clarity, formatting, instruction-following, and adherence to project-specific rubrics. You will spot recurring quality issues, communicate updates to trainers and QAs, support onboarding, maintain documentation, and help activate contributors who are not working consistently. This role requires strong anthropology expertise, strong English communication skills, excellent attention to detail, structured communication, and the ability to manage quality workflows across remote expert teams. This role is a fast-growing AI Data Services company delivering training data for many of the world’s largest AI companies and foundation-model labs. Your anthropology quality leadership will directly help improve the world’s premier AI models by ensuring that anthropology training data is accurate, culturally sensitive, ethically aware, research-informed, and aligned with client expectations. Selection process involves an AI interview, a domain-specific task, and an interview with a recruiter. Important: There is no immediate project for this role; however, if qualified, you will be among the first experts we reach out to when relevant opportunities arise. This will also provide you with access to future projects available through our expert network.<br><br>Your profile<br><br>Bachelor’s, Master’s, or PhD degree in Anthropology, Cultural Anthropology, Archaeology, Biological Anthropology, Linguistic Anthropology, Sociology, Area Studies, Museum Studies, or a closely related field. Strong grasp of the English language to follow project guidelines, communicate with teams, and provide clear written feedback.3+ years of experience in anthropology research, teaching, ethnography, archaeology, museum/heritage work, cultural analysis, academic writing, fieldwork, or related workflows. Strong understanding of anthropological theory, cultural relativism, ethnographic methods, kinship, ritual, language/culture relationships, material culture, human evolution, archaeology, ethics, and representation. Ability to evaluate anthropology content against detailed rubrics and identify issues such as cultural stereotyping, ethnocentrism, unsupported generalizations, outdated terminology, methodological errors, weak contextualization, or ethically problematic framing. Familiarity with areas such as ethnography, participant observation, archaeological methods, human origins, kinship systems, religion/ritual, migration, colonialism, Indigenous studies, museum ethics, or linguistic anthropology is preferred. Experience leading or supporting remote teams of researchers, educators, reviewers, fieldworkers, annotators, or QAs is strongly preferred. Comfortable working in fast-moving remote environments using tools such as Discord, Google Sheets, Google Docs, trackers, dashboards, and project management systems. Highly detail-oriented and organized, with the ability to maintain style guides, FAQs, trackers, onboarding materials, calibration tasks, and documentation. Experience with AI training, data annotation, LLM evaluation, social science QA, academic review, cultural sensitivity review, or rubric-based review is a strong plus.<br><br>Key responsibilities<br><br>Quality monitoring: Spot-check anthropology items, identify quality issues, provide ongoing feedback through DMs, and escalate recurring or critical issues. Anthropology review: Evaluate AI-generated anthropology explanations, ethnographic summaries, cultural comparisons, archaeology discussions, human evolution explanations, and social/cultural reasoning for accuracy and sensitivity. Trainer and QA communication: Update trainers and QAs on Discord about new item guidelines, project changes, workflow updates, quality expectations, and anthropology-specific review standards. Question handling: Respond to trainer/QA questions clearly and promptly, especially around cultural context, anthropological concepts, ethnographic methods, archaeology, human evolution, ethics, representation, and rubric interpretation. Trainer/QA activation management: DM contributors who are inactive or not working, encourage activation, track follow-ups, and flag availability issues when needed. Documentation: Create and maintain anthropology project documentation, including style guides, trackers, FAQs, quality notes, examples, honeypots, calibration tasks, and onboarding materials. Onboarding and training: Schedule and run onboarding/training calls with trainers and QAs to explain project expectations, workflows, rubrics, quality standards, and anthropology-specific review requirements. Quality alignment: Ensure all trainers and QAs apply anthropology review guidelines consistently and understand updates as projects evolve. Bias and ethics review: Flag ethnocentric, stereotyping, culturally insensitive, outdated, unsupported, or ethically problematic anthropology content. Process improvement: Identify recurring quality gaps, propose workflow improvements, and help build scalable QA processes for anthropology AI training projects.

Job Description<br><br>Job Title: Political Science Quality Assurance Lead<br><br>Job Type: Contract<br><br>Location: Remote<br><br>About This Role<br><br>In this hourly, remote contractor role, you will work as a Political Science Quality Assurance Lead to oversee quality, consistency, and trainer performance across political science AI training projects. You will review AI-generated political science content and trainer/QA work, evaluate output quality against project guidelines, provide precise written feedback, and ensure that all contributors follow the expected quality standards. You will assess work for conceptual accuracy, institutional knowledge, comparative context, political theory accuracy, policy reasoning, source awareness, bias sensitivity, clarity, formatting, instruction-following, and adherence to project-specific rubrics. You will spot recurring quality issues, communicate updates to trainers and QAs, support onboarding, maintain documentation, and help activate contributors who are not working consistently. This role requires strong political science expertise, strong English communication skills, excellent attention to detail, structured communication, and the ability to manage quality workflows across remote expert teams. This role is a fast-growing AI Data Services company delivering training data for many of the world’s largest AI companies and foundation-model labs. Your political science quality leadership will directly help improve the world’s premier AI models by ensuring that political science training data is accurate, balanced, well-contextualized, analytically sound, and aligned with client expectations. Selection process involves an AI interview, a domain-specific task, and an interview with a recruiter. Important: There is no immediate project for this role; however, if qualified, you will be among the first experts we reach out to when relevant opportunities arise. This will also provide you with access to future projects available through our expert network.<br><br>Your Profile<br><br>Bachelor’s, Master’s, or PhD degree in Political Science, International Relations, Public Policy, Government, Political Theory, Security Studies, Law, Sociology, Economics, or a closely related social science field. Strong grasp of the English language to follow project guidelines, communicate with teams, and provide clear written feedback.3+ years of experience in political science research, teaching, policy analysis, public affairs, international relations, political writing, academic review, or related analytical workflows. Strong understanding of political institutions, comparative politics, international relations, public policy, political theory, electoral systems, governance, state capacity, civil society, and political behavior. Ability to evaluate political science content against detailed rubrics and identify issues such as oversimplification, ideological bias, unsupported claims, incorrect institutional descriptions, misleading causal reasoning, or weak comparative analysis. Familiarity with areas such as democracy and authoritarianism, political economy, public administration, constitutional systems, electoral politics, conflict studies, international organizations, policy evaluation, or survey research is preferred. Experience leading or supporting remote teams of analysts, researchers, reviewers, educators, annotators, or QAs is strongly preferred. Comfortable working in fast-moving remote environments using tools such as Discord, Google Sheets, Google Docs, trackers, dashboards, and project management systems. Highly detail-oriented and organized, with the ability to maintain style guides, FAQs, trackers, onboarding materials, calibration tasks, and documentation. Experience with AI training, data annotation, LLM evaluation, policy QA, academic review, fact-checking, or rubric-based review is a strong plus.<br><br>Key Responsibilities<br><br>Quality monitoring: Spot-check political science items, identify quality issues, provide ongoing feedback through DMs, and escalate recurring or critical issues. Political science review: Evaluate AI-generated political science explanations, comparative analyses, policy summaries, political theory discussions, institutional descriptions, and reasoning for accuracy and balance. Trainer and QA communication: Update trainers and QAs on Discord about new item guidelines, project changes, workflow updates, quality expectations, and political-science-specific review standards. Question handling: Respond to trainer/QA questions clearly and promptly, especially around institutions, comparative politics, public policy, political theory, international relations, bias, and rubric interpretation. Trainer/QA activation management: DM contributors who are inactive or not working, encourage activation, track follow-ups, and flag availability issues when needed. Documentation: Create and maintain political science project documentation, including style guides, trackers, FAQs, quality notes, examples, honeypots, calibration tasks, and onboarding materials. Onboarding and training: Schedule and run onboarding/training calls with trainers and QAs to explain project expectations, workflows, rubrics, quality standards, and political-science-specific review requirements. Quality alignment: Ensure all trainers and QAs apply political science review guidelines consistently and understand updates as projects evolve. Bias and risk review: Flag misleading, ideologically one-sided, unsupported, outdated, politically inflammatory, or poorly contextualized claims. Process improvement: Identify recurring quality gaps, propose workflow improvements, and help build scalable QA processes for political science AI training projects.

Job Description<br><br>Job Title: Political Science Quality Assurance Lead<br><br>Job Type: Contract<br><br>Location: Remote<br><br>About This Role<br><br>In this hourly, remote contractor role, you will work as a Political Science Quality Assurance Lead to oversee quality, consistency, and trainer performance across political science AI training projects. You will review AI-generated political science content and trainer/QA work, evaluate output quality against project guidelines, provide precise written feedback, and ensure that all contributors follow the expected quality standards. You will assess work for conceptual accuracy, institutional knowledge, comparative context, political theory accuracy, policy reasoning, source awareness, bias sensitivity, clarity, formatting, instruction-following, and adherence to project-specific rubrics. You will spot recurring quality issues, communicate updates to trainers and QAs, support onboarding, maintain documentation, and help activate contributors who are not working consistently. This role requires strong political science expertise, strong English communication skills, excellent attention to detail, structured communication, and the ability to manage quality workflows across remote expert teams. This role is a fast-growing AI Data Services company delivering training data for many of the world’s largest AI companies and foundation-model labs. Your political science quality leadership will directly help improve the world’s premier AI models by ensuring that political science training data is accurate, balanced, well-contextualized, analytically sound, and aligned with client expectations. Selection process involves an AI interview, a domain-specific task, and an interview with a recruiter. Important: There is no immediate project for this role; however, if qualified, you will be among the first experts we reach out to when relevant opportunities arise. This will also provide you with access to future projects available through our expert network.<br><br>Your Profile<br><br>Bachelor’s, Master’s, or PhD degree in Political Science, International Relations, Public Policy, Government, Political Theory, Security Studies, Law, Sociology, Economics, or a closely related social science field. Strong grasp of the English language to follow project guidelines, communicate with teams, and provide clear written feedback.3+ years of experience in political science research, teaching, policy analysis, public affairs, international relations, political writing, academic review, or related analytical workflows. Strong understanding of political institutions, comparative politics, international relations, public policy, political theory, electoral systems, governance, state capacity, civil society, and political behavior. Ability to evaluate political science content against detailed rubrics and identify issues such as oversimplification, ideological bias, unsupported claims, incorrect institutional descriptions, misleading causal reasoning, or weak comparative analysis. Familiarity with areas such as democracy and authoritarianism, political economy, public administration, constitutional systems, electoral politics, conflict studies, international organizations, policy evaluation, or survey research is preferred. Experience leading or supporting remote teams of analysts, researchers, reviewers, educators, annotators, or QAs is strongly preferred. Comfortable working in fast-moving remote environments using tools such as Discord, Google Sheets, Google Docs, trackers, dashboards, and project management systems. Highly detail-oriented and organized, with the ability to maintain style guides, FAQs, trackers, onboarding materials, calibration tasks, and documentation. Experience with AI training, data annotation, LLM evaluation, policy QA, academic review, fact-checking, or rubric-based review is a strong plus.<br><br>Key Responsibilities<br><br>Quality monitoring: Spot-check political science items, identify quality issues, provide ongoing feedback through DMs, and escalate recurring or critical issues. Political science review: Evaluate AI-generated political science explanations, comparative analyses, policy summaries, political theory discussions, institutional descriptions, and reasoning for accuracy and balance. Trainer and QA communication: Update trainers and QAs on Discord about new item guidelines, project changes, workflow updates, quality expectations, and political-science-specific review standards. Question handling: Respond to trainer/QA questions clearly and promptly, especially around institutions, comparative politics, public policy, political theory, international relations, bias, and rubric interpretation. Trainer/QA activation management: DM contributors who are inactive or not working, encourage activation, track follow-ups, and flag availability issues when needed. Documentation: Create and maintain political science project documentation, including style guides, trackers, FAQs, quality notes, examples, honeypots, calibration tasks, and onboarding materials. Onboarding and training: Schedule and run onboarding/training calls with trainers and QAs to explain project expectations, workflows, rubrics, quality standards, and political-science-specific review requirements. Quality alignment: Ensure all trainers and QAs apply political science review guidelines consistently and understand updates as projects evolve. Bias and risk review: Flag misleading, ideologically one-sided, unsupported, outdated, politically inflammatory, or poorly contextualized claims. Process improvement: Identify recurring quality gaps, propose workflow improvements, and help build scalable QA processes for political science AI training projects.

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for an AI Research Engineer (Multi-Modal & Vision) based in United Arab Emirates.<br><br>This is an exciting opportunity for a research-focused AI engineer to contribute to the development of advanced multimodal systems that combine vision and language capabilities. The role covers the full AI model lifecycle, from dataset creation and training pipeline development to model evaluation, optimization, and deployment. Working within a highly skilled and collaborative team, you will help build scalable AI solutions designed for real-world production environments. The position offers significant ownership, direct impact on cutting-edge research initiatives, and the opportunity to apply state-of-the-art techniques to solve complex challenges. Ideal candidates are passionate about advancing multimodal AI while maintaining a strong engineering mindset focused on measurable outcomes and practical deployment.<br><br>Accountabilities<br><br>Conduct end-to-end research and development of vision-language models, including training, evaluation, optimization, and deployment activities. Design and implement advanced post-training methodologies such as supervised fine-tuning, knowledge distillation, and reinforcement learning from human feedback. Build, curate, filter, and maintain high-quality multimodal datasets tailored to domain-specific applications. Improve model efficiency and scalability through optimization, compression, and adaptation techniques suitable for resource-constrained environments. Develop benchmarking systems and evaluation frameworks to assess model quality, robustness, and real-world performance. Build and maintain distributed training workflows across GPU infrastructure while identifying and resolving performance bottlenecks. Contribute to open-source AI ecosystems by leveraging and enhancing models, datasets, and development tools. Monitor emerging research in multimodal learning and vision-language systems, translating relevant advancements into practical improvements. Collaborate on research publications and contribute to scientific advancements through conference or journal submissions when appropriate.<br><br>Requirements<br><br>Bachelor's degree in Computer Science, Machine Learning, Artificial Intelligence, or a related field; Master's or PhD preferred. Strong hands-on experience working with multimodal AI systems, particularly vision-language models. Proven expertise in supervised fine-tuning, knowledge distillation, reinforcement learning from feedback, and other post-training optimization techniques. Experience with parameter-efficient fine-tuning approaches and distributed training frameworks. Demonstrated success improving model performance on industry-standard benchmarks or production use cases. Strong understanding of model optimization techniques for deployment in resource-constrained environments. Experience building scalable machine learning pipelines and training workflows on GPU infrastructure. Proven contributions to open-source multimodal AI projects through platforms such as Git Hub or Hugging Face. Research background supported by publications in leading AI conferences or journals is highly desirable. Strong analytical thinking, problem-solving skills, and the ability to balance research innovation with production-oriented engineering practices. Excellent communication skills and the ability to collaborate effectively within distributed, cross-functional teams.<br><br>Benefits<br><br>Competitive salary package aligned with experience and expertise. Opportunity to work on cutting-edge multimodal AI and vision-language research projects. Fully remote work environment with global collaboration opportunities. Exposure to large-scale AI infrastructure and advanced machine learning technologies. High degree of autonomy, ownership, and impact on product and research outcomes. Collaboration with experienced researchers, engineers, and AI specialists. Professional growth opportunities through research, innovation, and publication support. Flexible working arrangements that support work-life balance. Dynamic, fast-paced environment focused on innovation and continuous learning.<br><br>How Jobgether Works<br><br>We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.<br><br>We appreciate your interest and wish you the best!<br><br> Why Apply Through Jobgether?<br><br>Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.<br><br>We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Program Manager Mining based in United Arab Emirates.<br><br>This role sits at the intersection of strategic program leadership and complex mining operations across international environments. You will oversee the full lifecycle of multi-disciplinary mining initiatives, from exploration through to operational readiness, ensuring alignment between technical execution, regulatory compliance, and corporate strategy. Acting as a key orchestrator, you will coordinate engineering, geology, legal, environmental, and finance stakeholders to deliver high-impact outcomes. The position requires strong engagement with government authorities and local institutions, particularly in relation to permits, concessions, and regulatory frameworks. You will also play a central role in shaping stakeholder relations and ESG-aligned community programs that support long-term project viability. This is a high-visibility role where your leadership directly influences the success of large-scale mining programs in complex and evolving environments.<br><br>Accountabilities<br><br>Lead end-to-end program management for mining initiatives, ensuring coordination across exploration, feasibility, permitting, construction, and operational readiness workstreams. Define program scope, objectives, timelines, budgets, and resource allocation in alignment with corporate strategy. Coordinate cross-functional internal teams and external consultants across technical, environmental, legal, financial, and operational domains. Manage relationships with government authorities, regulators, and institutional stakeholders to support permitting, concessions, and policy engagement. Drive stakeholder and community engagement initiatives aligned with ESG commitments and social license to operate. Monitor program risks, dependencies, and critical paths while implementing mitigation strategies and escalating key issues when necessary. Establish governance frameworks, KPIs, and reporting structures, delivering executive-level updates on program performance. Oversee capital expenditure, budgets, vendor performance, and contract management across multiple projects. Ensure compliance with mining regulations, HSE standards, and international industry best practices.<br><br>Requirements<br><br>Bachelor’s degree in Mining Engineering, Geology, Civil Engineering, Industrial Engineering, or related field; postgraduate studies in program/project management or business are an advantage.6+ years of experience in the mining industry, including 3-5+ years managing complex programs or multi-project portfolios. Strong understanding of the full mining lifecycle, including exploration, feasibility, permitting, construction, and operations. Proven experience working with government bodies, regulators, and local communities, ideally in Latin America or similar regions. Certification in program or project management (PMP, PgMP, PRINCE2, or equivalent) is highly desirable. Strong leadership and stakeholder management skills, with the ability to operate in multicultural and cross-functional environments. Excellent planning, organizational, and risk management capabilities in high-complexity settings. Proficiency in program management tools such as MS Project, Primavera, or equivalent platforms. Fluency in English and Spanish, both written and spoken. Strong problem-solving skills, sound judgment, and resilience in high-pressure, high-visibility environments. Advantageous: experience in Central America, familiarity with ESG frameworks (IFC PS, ICMM), and exposure to public-sector or multilateral institutions.<br><br>Benefits<br><br>Competitive compensation package aligned with experience and responsibility level. Fully remote or flexible working arrangements depending on project needs. Opportunity to lead large-scale, high-impact mining programs across international regions. Exposure to complex, strategic initiatives spanning exploration through operations. Collaboration with multidisciplinary global teams and senior stakeholders. High autonomy and decision-making responsibility in a critical leadership role. Long-term career growth in large-scale program and portfolio management. Opportunity to work on ESG-driven initiatives and sustainable mining development projects.<br><br>How Jobgether Works<br><br>We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.<br><br>We appreciate your interest and wish you the best!<br><br> Why Apply Through Jobgether?<br><br>Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.<br><br>We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <ul><li><p><span>Be responsible for providing and coordinating patient care, educating patients and the public about various health conditions, and providing advice and emotional support to patients and their family members.</span></p><br></li><li><p><span>Assess and identify patients' needs and implement and monitor the patient's medical plan and treatment. They will work with a team of physicians and other health care specialists or allied health in various settings.</span></p><br></li><li><p><span>Perform systematic patient assessment, re-assessment and collect pertinent data about the patient’s health or situation.</span></p><br></li><li><p><span>Understand and analyse the assessment information and data.</span></p><br></li><li><p><span>Determine actual and potential nursing diagnoses, problems, and issues.</span></p><br></li><li><p><span>Define the predicted and expected outcomes of the patient’s planned care.</span></p><br></li><li><p><span>Create and evaluate patient care plans with the interprofessional team, in collaboration with the patient and patient's bystanders.</span></p><br></li><li><p><span>Record vital signs, recognize,</span><span>address and escalate all abnormalities.</span></p><br></li><li><p><span>Maintain and update technical and clinical skills related to nursing practice.</span></p><br></li><li><p><span>Employ strategies to promote patients’ health and a safe environment.</span></p><br></li><li><p><span>Understand different diagnostic tests and laboratory examinations.</span></p><br></li><li><p><span>Perform essential life support as per regulatory requirements and scope such as but not limited to Basic Life Support, Pediatric Advanced Life Support, Advanced Cardiac Life Support, Neonatal Resuscitation etc.</span></p><br></li><li><p><span>Prepare patients for medical examination and treatment.</span></p><br></li><li><p><span>Administer medications and monitor patients for any side effects and reactions.</span></p><br></li><li><p><span>Administer treatments such as IV fluids or blood products and monitor patients for any reactions.</span></p><br></li><li><p><span>Provide wound care management.</span></p><br></li><li><p><span>Assist in medical procedures invasive or non-invasive as needed.</span></p><br></li><li><p><span>Facilitate the process of safe patient`s admission, transfer and discharge.</span></p><br></li></ul><p><span><u>Comprehensive Screening Roles and Responsibilities (OPD Nurse):&nbsp;</u></span></p><br><ul><li><span>Encourage desired population to participate in comprehensive screening program.</span></li><li><span>Follow up and tracking of screening result to ensure the timeliness and completeness of&nbsp; &nbsp; follow up.</span></li><li><span>Provide education to patient and family in regards of screening program.</span></li><li><span>Follow up with patient as per defined timeframe and encourage patient to follow desired pathway.</span></li><li><span>Implement standard process and pathways as per DOH guideline.</span></li><li><span>Obtain informed patient consent prior to screening.</span></li><li><span>Collect KPI data and monitor desired KPI as per DOH guideline</span></li></ul><br>Responsibilities:<br><ul><li><p><span>Be responsible for providing and coordinating patient care, educating patients and the public about various health conditions, and providing advice and emotional support to patients and their family members.</span></p><br></li><li><p><span>Assess and identify patients' needs and implement and monitor the patient's medical plan and treatment. They will work with a team of physicians and other health care specialists or allied health in various settings.</span></p><br></li><li><p><span>Perform systematic patient assessment, re-assessment and collect pertinent data about the patient’s health or situation.</span></p><br></li><li><p><span>Understand and analyse the assessment information and data.</span></p><br></li><li><p><span>Determine actual and potential nursing diagnoses, problems, and issues.</span></p><br></li><li><p><span>Define the predicted and expected outcomes of the patient’s planned care.</span></p><br></li><li><p><span>Create and evaluate patient care plans with the interprofessional team, in collaboration with the patient and patient's bystanders.</span></p><br></li><li><p><span>Record vital signs, recognize,</span><span>address and escalate all abnormalities.</span></p><br></li><li><p><span>Maintain and update technical and clinical skills related to nursing practice.</span></p><br></li><li><p><span>Employ strategies to promote patients’ health and a safe environment.</span></p><br></li><li><p><span>Understand different diagnostic tests and laboratory examinations.</span></p><br></li><li><p><span>Perform essential life support as per regulatory requirements and scope such as but not limited to Basic Life Support, Pediatric Advanced Life Support, Advanced Cardiac Life Support, Neonatal Resuscitation etc.</span></p><br></li><li><p><span>Prepare patients for medical examination and treatment.</span></p><br></li><li><p><span>Administer medications and monitor patients for any side effects and reactions.</span></p><br></li><li><p><span>Administer treatments such as IV fluids or blood products and monitor patients for any reactions.</span></p><br></li><li><p><span>Provide wound care management.</span></p><br></li><li><p><span>Assist in medical procedures invasive or non-invasive as needed.</span></p><br></li><li><p><span>Facilitate the process of safe patient`s admission, transfer and discharge.</span></p><br></li></ul><p><span><u>Comprehensive Screening Roles and Responsibilities (OPD Nurse):&nbsp;</u></span></p><br><ul><li><span>Encourage desired population to participate in comprehensive screening program.</span></li><li><span>Follow up and tracking of screening result to ensure the timeliness and completeness of&nbsp; &nbsp; follow up.</span></li><li><span>Provide education to patient and family in regards of screening program.</span></li><li><span>Follow up with patient as per defined timeframe and encourage patient to follow desired pathway.</span></li><li><span>Implement standard process and pathways as per DOH guideline.</span></li><li><span>Obtain informed patient consent prior to screening.</span></li><li><span>Collect KPI data and monitor desired KPI as per DOH guideline</span></li></ul><br>Qualifications:<br><p><span>Essential: </span><i><span>the post holder must</span></i></p><br><ul><li><p><span>Have an appropriate license to work as a registered nurse in the relevant regulatory health authority with all the qualifications and experience these mandates.</span></p><br></li><li><p><span>Manage their own professional re-licensure.</span></p><br></li><li><p><span>Hold a valid American Heart Association Basic Life Support Provider card.</span></p><br></li><li><p><span>Be willing to work across departments when necessary.</span></p><br></li><li><p><span>Be able to communicate clearly and effectively in English (spoken and written)</span></p><br></li></ul><p><span>DESIRABLE: The post holder </span><i><span>should have</span></i><span>:</span></p><br><ul><li><p><span>Evidenced ability to work as part of an inter-professional team.</span></p><br></li><li><p><span>Organizational and administrative skills with which to use the electronic medical record platform for clinical documentation.</span></p><br></li><li><p><span>Be able to communicate effectively in Arabic</span></p><br></li></ul> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>We're looking for a hands-on, full-stack Digital Marketing Specialist who genuinely knows it all, someone who can own the entire digital funnel end to end, from strategy and campaign build to copywriting, keyword research, paid media execution, CRM, and optimisation.<br> We're looking for a dynamic, proactive, and ideas-driven marketer who takes initiative, identifies opportunities independently, tests new approaches, and brings genuine expertise across every digital channel.<br> This role suits someone who is confident driving strategy forward and contributing fresh thinking, rather than working solely from briefs.<br> If you live and breathe campaigns, paid media, CRM, and performance data, this one's for you.<br> What you'll be responsible for Campaign strategy, set-up &amp; execution Own digital campaigns end to end, from initial strategy and set-up through to launch, day-to-day management, and ongoing optimisation.<br> Build full-funnel campaigns across paid search, paid social, display, email, and retargeting that drive acquisition, engagement, and revenue.<br> Plan campaign structures, audiences, budgets, bidding, and tracking before anything goes live, and know exactly why each lever is set the way it is.<br> Run continuous A/B testing on creative, copy, audiences, and bids, using the results to sharpen performance.<br> Paid media &amp; advertising Set up, launch, and manage campaigns across Google Ads (Search, Display, Performance Max, YouTube), Meta Ads (Facebook &amp; Instagram), and LinkedIn Ads from scratch.<br> Manage and optimise all live ad accounts, adjusting targeting, bids, budgets, and creative to hit and beat CPA and ROAS targets.<br> Own conversion tracking and pixel/tag set-up (Google Tag Manager, Meta Pixel, conversion APIs) so every campaign is measured accurately.<br> Copywriting &amp; keyword research Write sharp, high-performing ad copy, landing page copy, email sequences, and social content tailored to each channel and audience.<br> Carry out keyword research to find the highest-performing, highest-intent terms and continually refine based on what's actually converting.<br> Use SEMrush for keyword research, competitor analysis, SEO opportunities, and campaign planning (prior hands-on SEMrush experience is essential).<br> CRM &amp; lead generation Manage CRM and lead workflows, segmentation, lead scoring, nurture sequences, and email automation, to convert and retain customers.<br> Use Apollo for prospecting, list building, data enrichment, and outbound lead generation (prior hands-on Apollo experience is essential).<br> Analytics &amp; optimisation Monitor performance metrics and KPIs (CTR, CPC, CPA, ROAS, LTV, conversion rate) and report clearly to stakeholders with insight, not just numbers.<br> Use analytics tools (Google Analytics / GA4, Adobe Analytics, Looker Studio, or similar) to track, measure, and improve performance.<br> Turn data into decisions, optimising creative, targeting, and bidding to maximise ROI and proactively flag opportunities to do better.<br> Audience targeting &amp; segmentation Research and segment audiences to identify the customer groups that matter most.<br> Use the targeting capabilities across each platform to deliver personalised, relevant messaging to the right people.<br> Collaboration Work closely with internal teams to keep marketing aligned with wider business goals, and bring fresh thinking to the table, not just execution.<br> 5+ years in digital marketing with a focus on performance marketing, ideally in a B2B and/or agency environment.<br> A proven track record of building, running, and optimising successful campaigns across multiple channels.<br> Essential hands-on experience with Apollo (prospecting, enrichment, outbound lead gen).<br> Essential hands-on experience with SEMrus h (keyword research, competitor analysis, SEO).<br> Hands-on experience setting up and managing Google Ads, Meta Ads Manage r, and LinkedIn Ads from scratch.<br> Strong copywriting skills and the ability to research and select high-performing keywords.<br> Experience managing CRM, email automation, and lead nurture workflows.<br> Strong analytical skills and confidence with tools like Google Analytics / GA4, Adobe Analytics, or similar.<br> Solid understanding of A/B testing, conversion tracking, and optimisation tools and methods.<br> Excellent communication skills, able to present complex data and ideas clearly and turn them into action.<br> Strong project management skills, comfortable juggling multiple priorities and deadlines in a fast-paced environment.<br> The kind of person we're looking for Proactive - you spot the opportunity and act on it before you're asked.<br> Dynamic - you move fast, adapt, and thrive when things change.<br> Full of ideas - you bring genuine creativity and a constant stream of things worth testing.<br> Deeply knowledgeable - you understand the why behind every channel, metric, and tactic, not just the how .<br> Self-starting and accountable - you own outcomes and don't need chasing.<br></span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <br><strong>COME JOIN THE WORLD’S MOST INTERNATIONAL COMPANY</strong><br>A company that pioneered cross-border express delivery in 1969 and is now active in more than 220 countries and territories worldwide.<br>DHL UAE is the recognized market leader in Express logistics and an Employer of Choice – ranked consistently as Great Place To Work in the UAE for consecutive years since 2015.<br>Join our team and discover how an international network that’s focused on service, quality and sustainability, is able to connect people and improve lives through <br>the<span> power of global trade. And not just for our customers, but for every member of our team too. To learn more about our culture, motivated people and our purpose, </span><br><span>please visit https://careers.dhl.com/global/en </span><br><strong>ABOUT THE ROLE</strong><br>The Talent Acquisition Executive is responsible for managing end-to-end recruitment and onboarding processes while driving strategic initiatives to enhance efficiency and compliance. This role involves process automation, data-driven reporting, and the seamless integration of Emiratization efforts. Additionally, the role oversees the onboarding of hosted employees, ensures adherence to CRISP audit requirements, and manages the approval process for recruitment approval forms. A continuous improvement mindset is applied to refine and enhance recruitment and onboarding effectiveness. The role also involves strong stakeholder management with hosted employees to ensure their seamless integration and support.<br><strong>YOUR TASKS</strong><br><ul><li>Lead all aspects of recruitment, from sourcing to offer management and visa processing,onboarding </li><li>Coordinate with internal and external stakeholders to ensure a seamless onboarding experience.</li><li>Actively source candidates, conduct interviews, and manage the hiring process, including background checks.</li><li>Manage the end-to-end onboarding phase for hosted employees, starting from the offer stage onwards.</li><li>Ensure all compliance and regulatory requirements are met for hosted employees.</li><li>Act as a key point of contact for hosted employees, providing guidance and support throughout their onboarding journey.</li><li>Address any challenges or concerns faced by hosted employees to ensure a smooth transition into their roles.</li><li>Identify opportunities for automation to improve the efficiency and accuracy of recruitment and onboarding workflows. </li><li>Implement process enhancements to streamline hiring, onboarding and compliance procedures. </li><li>Leverage HR technology to optimize tracking, reporting, and employee engagement. </li><li>Drive continuous improvement initiatives to ensure the recruitment and onboarding processes remain agile and effective. </li><li>Generate and analyze recruitment and onboarding reports to provide insights and drive data backed decisionmaking</li><li>Present key metrics and trends to senior management to enhance workforce planning and process improvements. </li><li>Monitor KPIs to ensure recruitment efficiency and adherence to company objectives. </li><li>Identify trends and areas of improvement through data analysis to refine recruitment strategies. </li><li>Refresh and update the annual recruitment report and forms to reflect key trends, improvements, and performance insights.</li><li>Oversee the recruitment approval process, ensuring timely and accurate approvals.</li><li>Coordinate with key stakeholders to facilitate smooth approval workflows.</li><li>Maintain accurate records of approvals for reporting and audit purposes</li><li>Drive Emiratization initiatives, ensuring compliance with local regulations and fostering a culture of inclusion. </li><li>Partner with government entities and stakeholders to attract and retain Emirati talent. </li><li>Develop strategic programs to enhance the hiring and career development of Emirati employees. </li><li>Continuously assess and refine Emiratization strategies to align with evolving business needs and regulatory requirements. </li><li>Ensure compliance with all recruitment and onboarding policies, aligning with CRISP audit requirements. </li><li>Prepare and manage biannual CRISP audits, implementing corrective actions where necessary. </li><li>Maintain documentation and process adherence to uphold quality and compliance standards. </li><li>Drive continuous improvement initiatives to enhance compliance and audit readiness. </li><li>Work closely with HR, business leaders, and external partners to align recruitment and onboarding with business goals. </li><li>Act as a trusted advisor for hiring managers, providing guidance on best practices and market trends. </li><li>Foster strong relationships with candidates to enhance employer branding and candidate experience. </li><li>Continuously seek feedback from stakeholders to refine recruitment and onboarding processes. </li><li>Manage relationships with hosted employees, ensuring their smooth integration, engagement, and support.</li></ul><br><strong>YOUR PROFILE</strong><br><ul><li>Education: Bachelor's degree in Management or Human Resources </li><li>A minimum of 4 years in the HR function with at least 3 years in recruitment, onboarding, and HR process optimization.</li><li>Proven experience in recruitment, onboarding, and HR process optimization.</li><li>Excellent command of English language</li><li>Excellent computer skills (MS Word &amp; Excel)</li><li>Strong understanding of automation tools and HR technology.</li><li>Analytical mindset with experience in data reporting and insights generation.</li><li>Knowledge of Emiratization policies and regulatory requirements.</li><li>Experience with audit processes, compliance standards, and documentation management.</li><li>Excellent communication, stakeholder management, and problem-solving skills.</li></ul><br><br> </div>