Female Nurse Jobs - Dubai UAE

Company Description At XPIN AI, we are building the next generation of sovereign, enterprise-grade AI platforms that transform how governments and enterprises operate. This role requires deep expertise in modern frontend technologies, strong engineering leadership, and the ability to shape product direction while delivering highly performant, scalable, secure, and visually compelling AI applications.<br>As a Principal Frontend Engineer, you will define the frontend engineering vision, establish technical standards, mentor engineering teams, and work closely with product, UX, AI, and backend teams to build exceptional user experiences for complex, data-intensive, AI-powered platforms.<br>Responsibilities Define and continuously evolve XPIN AI’s frontend architecture, engineering standards, and technology stack. Establish best practices for code quality, maintainability, security, performance, scalability, accessibility, and testing. Lead architecture reviews, technical discussions, and engineering decisions while ensuring alignment with business objectives and product vision. Drive adoption of AI-assisted software engineering practices to improve development speed, code quality, testing, and developer productivity. Design and develop advanced dashboards, intelligent workspaces, real-time operational interfaces, and rich data visualizations. Champion modern frontend frameworks, component libraries, and development tooling. Partner closely with Product Managers, UX Designers, AI Engineers, Solution Architects, and Backend Engineers to transform complex business workflows into intuitive digital experiences. Build and maintain enterprise-grade design systems and reusable component libraries that ensure consistency across all XPIN AI products. Mentor and coach frontend engineers, promoting technical excellence, innovation, and engineering craftsmanship. Drive the adoption of AI and Large Language Model powered development practices across engineering teams. Advocate engineering excellence while fostering a culture of continuous improvement, ownership, and innovation. Contribute to technical hiring, engineering culture, and long-term technology strategy.<br>Qualifications Strong Front-End Development skills, including proficiency with modern Java Script frameworks (e.g., React, Vue, or Angular) and component-based architectures. Experience with Responsive Web Design and creating accessible, cross-browser, and mobile-friendly user interfaces. Solid Web Development and Software Development skills, including version control (Git), testing, debugging, and performance optimization. Understanding of Back-End Web Development concepts, RESTful APIs, and integration with server-side services. Ability to collaborate in remote teams, communicate clearly, and participate in code reviews and technical discussions. Experience with build tools and front-end ecosystems (e.g., Webpack, Vite, ESLint, CSS preprocessors, or Tailwind CSS). Background in AI-driven or data-intensive applications is a plus, along with familiarity with security best practices in web applications. Bachelor’s degree in Computer Science, Engineering, or related field, or equivalent practical experience.10+ years of professional frontend engineering experience, including at least 3 years in a Principal, Lead, or Staff Engineering role. Expert-level proficiency in Java Script, Type Script, React, modern state management libraries (Redux, Mob X, Zustand, etc.), frontend architecture, and build systems. Proven experience designing scalable frontend architectures for enterprise Saa S, AI, Gov Tech, or large-scale digital platforms. Strong expertise in performance optimization, rendering large datasets, responsive UI engineering, and browser performance tuning. Experience with build tools and front-end ecosystems (e.g., Webpack, Vite, ESLint, CSS preprocessors, or Tailwind CSS). Demonstrated ability to collaborate across multidisciplinary teams while influencing both technical architecture and product strategy. Excellent communication skills with the ability to explain complex technical concepts to business and executive stakeholders. Practical experience with AI-assisted software development, including code generation, automated testing, intelligent refactoring, developer copilots, and LLM-powered engineering workflows.<br>Preferred Qualifications:Strong experience building data-intensive enterprise platforms involving analytics, digital twins, business intelligence, workflow orchestration, or operational dashboards. Experience developing graph-based applications, workflow builders, visual orchestration tools, or state management platforms using React Flow, XFlow, or similar technologies. Experience building real-time collaborative web applications using Web Sockets, streaming architectures, or event-driven systems. Good understanding of modern data engineering concepts including data pipelines, transformation frameworks, metadata management, and data governance. Passion for emerging technologies, continuous learning, and building world-class enterprise software.<br>What we look for:At XPIN AI, we are looking for builders, innovators, and problem solvers who thrive in fast-moving, high-impact environments. You should be intellectually curious, adaptable, and passionate about solving complex challenges using cutting-edge AI technologies.<br>The ideal candidate embraces ownership, values collaboration, and enjoys working alongside exceptional engineers, designers, and AI specialists to create products that redefine industries. You are driven by engineering excellence, customer success, and the opportunity to shape the future of sovereign AI, Agentic AI, and enterprise intelligence platforms.<br>If you are excited about building technologies that empower governments, enterprises, and mission-critical organizations while pushing the boundaries of AI innovation, XPIN AI is the place where your ideas can make a lasting global impact.

Company Description At XPIN AI, we are building the next generation of sovereign, enterprise-grade AI platforms that transform how governments and enterprises operate. This role requires deep expertise in modern frontend technologies, strong engineering leadership, and the ability to shape product direction while delivering highly performant, scalable, secure, and visually compelling AI applications.<br>As a Principal Frontend Engineer, you will define the frontend engineering vision, establish technical standards, mentor engineering teams, and work closely with product, UX, AI, and backend teams to build exceptional user experiences for complex, data-intensive, AI-powered platforms.<br>Responsibilities Define and continuously evolve XPIN AI’s frontend architecture, engineering standards, and technology stack. Establish best practices for code quality, maintainability, security, performance, scalability, accessibility, and testing. Lead architecture reviews, technical discussions, and engineering decisions while ensuring alignment with business objectives and product vision. Drive adoption of AI-assisted software engineering practices to improve development speed, code quality, testing, and developer productivity. Design and develop advanced dashboards, intelligent workspaces, real-time operational interfaces, and rich data visualizations. Champion modern frontend frameworks, component libraries, and development tooling. Partner closely with Product Managers, UX Designers, AI Engineers, Solution Architects, and Backend Engineers to transform complex business workflows into intuitive digital experiences. Build and maintain enterprise-grade design systems and reusable component libraries that ensure consistency across all XPIN AI products. Mentor and coach frontend engineers, promoting technical excellence, innovation, and engineering craftsmanship. Drive the adoption of AI and Large Language Model powered development practices across engineering teams. Advocate engineering excellence while fostering a culture of continuous improvement, ownership, and innovation. Contribute to technical hiring, engineering culture, and long-term technology strategy.<br>Qualifications Strong Front-End Development skills, including proficiency with modern Java Script frameworks (e.g., React, Vue, or Angular) and component-based architectures. Experience with Responsive Web Design and creating accessible, cross-browser, and mobile-friendly user interfaces. Solid Web Development and Software Development skills, including version control (Git), testing, debugging, and performance optimization. Understanding of Back-End Web Development concepts, RESTful APIs, and integration with server-side services. Ability to collaborate in remote teams, communicate clearly, and participate in code reviews and technical discussions. Experience with build tools and front-end ecosystems (e.g., Webpack, Vite, ESLint, CSS preprocessors, or Tailwind CSS). Background in AI-driven or data-intensive applications is a plus, along with familiarity with security best practices in web applications. Bachelor’s degree in Computer Science, Engineering, or related field, or equivalent practical experience.10+ years of professional frontend engineering experience, including at least 3 years in a Principal, Lead, or Staff Engineering role. Expert-level proficiency in Java Script, Type Script, React, modern state management libraries (Redux, Mob X, Zustand, etc.), frontend architecture, and build systems. Proven experience designing scalable frontend architectures for enterprise Saa S, AI, Gov Tech, or large-scale digital platforms. Strong expertise in performance optimization, rendering large datasets, responsive UI engineering, and browser performance tuning. Experience with build tools and front-end ecosystems (e.g., Webpack, Vite, ESLint, CSS preprocessors, or Tailwind CSS). Demonstrated ability to collaborate across multidisciplinary teams while influencing both technical architecture and product strategy. Excellent communication skills with the ability to explain complex technical concepts to business and executive stakeholders. Practical experience with AI-assisted software development, including code generation, automated testing, intelligent refactoring, developer copilots, and LLM-powered engineering workflows.<br>Preferred Qualifications:Strong experience building data-intensive enterprise platforms involving analytics, digital twins, business intelligence, workflow orchestration, or operational dashboards. Experience developing graph-based applications, workflow builders, visual orchestration tools, or state management platforms using React Flow, XFlow, or similar technologies. Experience building real-time collaborative web applications using Web Sockets, streaming architectures, or event-driven systems. Good understanding of modern data engineering concepts including data pipelines, transformation frameworks, metadata management, and data governance. Passion for emerging technologies, continuous learning, and building world-class enterprise software.<br>What we look for:At XPIN AI, we are looking for builders, innovators, and problem solvers who thrive in fast-moving, high-impact environments. You should be intellectually curious, adaptable, and passionate about solving complex challenges using cutting-edge AI technologies.<br>The ideal candidate embraces ownership, values collaboration, and enjoys working alongside exceptional engineers, designers, and AI specialists to create products that redefine industries. You are driven by engineering excellence, customer success, and the opportunity to shape the future of sovereign AI, Agentic AI, and enterprise intelligence platforms.<br>If you are excited about building technologies that empower governments, enterprises, and mission-critical organizations while pushing the boundaries of AI innovation, XPIN AI is the place where your ideas can make a lasting global impact.

Job Description<br><br>Job Purpose<br><br>At Base Maintenance, our expert engineers deliver unparalleled service for all aircraft checks, from comprehensive inspections to major system repairs. We handle cabin retrofits, aircraft deliveries, and detailed inspection programs for Airbus A380, A350 and Boeing 777.<br><br>Our team excels in timely, cost-effective solutions for A & C checks, engine change, and landing gear changes, along with unscheduled maintenance and pre-service checks.<br><br>As a Lead Aircraft Mechanic you will be Responsible for carrying out maintenance tasks on Emirates and third-party aircraft components in accordance with laid down procedures and regulations. The Lead Aircraft Mechanic will work as part of a team under the direction and guidance of the assigned Licensed Engineer within the trade disciplines for which they have been trained.<br><br>In this role you will<br><br>Carry out routine servicing tasks as required in accordance with component maintenance manual procedures, observing all safety procedures and manufacturers/company regulations. Complete any component replacement and other maintenance activities as directed by immediate supervisor. This will include the ability to obtain and understand Aircraft Maintenance Manual (AMM), Illustrated Parts catalogue (IPC) or other approved documentation required to carry out this task. Effectively use any specialised tooling or test equipment that may be required as part of the checking, testing, replacement or servicing of a system or component. Understand the need for such equipment as referenced in the component manufacturers manuals is essential. Communicate at various levels and liaise with other areas over technical issues for all relevant parties to be aware of the aircraft’s serviceability status. Understand of the company documentation where it is required that mechanics sign for tasks action on routine documentation to ensure the maintenance of tools, equipment and systems (including ultramain) in the relevant workplace. Maintain and ensure the safety of self and others by always taking safety precautions, continuously monitoring the working area and taking corrective action to keep it clean and obstruction free to avoid any accidents.<br><br>Specific Job Accountabilities For Emirates Flight Training Academy (EFTA)<br><br>Complete maintenance and servicing activities for the Academy’s fleet to directly contribute to the safety and airworthiness of the academy’s operation. Assist in the recovery of an AOG across EFTA operation including diversionary airfields. Support the line operation of EFTA aircraft as required by operational needs to ensure the training programme is maintained and that aircraft is clean and prepared for departure.<br><br>Qualification<br><br>To be considered for the role, you must have the below<br><br>Vocational/ National / Higher National Diploma (12+2 or equivalent) or Apprenticeship in Mechanical, Electronic, Avionics or Aeronautical Engineering or equivalent training with a reputable airline or an approved maintenance organisation.<br><br>Knowledge/Skills<br><br>Experience carrying out maintenance on aircraft in an engineering environment. In depth knowledge of maintenance safety, human factors and general engineering practices is an essential requirement. A complete knowledge of the airport authority regulations regarding Airside Driving and aircraft movements may be a requirement depending on the work discipline. This will include the safe movement around aircraft on the ramp/in base including an understanding of all signs and road markings of working in such an environment if required in this area of operation. Must be able to hold a valid Airport Driving Permit as required.<br><br>Salary & benefits<br><br>Join us in Dubai and enjoy an attractive tax-free salary and travel benefits that are exclusive to our industry, including discounts on flights and hotels stays around the world. Find out what it’s like to live and work in our fast-paced, cosmopolitan home city in the Dubai Lifestyle section of our website www.emirates.com/careers<br><br>Job Details<br><br>Role Level: Not Applicable Work Type: Full-Time Country: United Arab Emirates City: Dubai Company Website: http://www.emirates.com Job Function: Engineering Company Industry/<br><br>Sector: Other<br><br>What We Offer<br><br>About The Company<br><br>Searching, interviewing and hiring are all part of the professional life. The TALENTMATE Portal idea is to fill and help professionals doing one of them by bringing together the requisites under One Roof. Whether you're hunting for your Next Job Opportunity or Looking for Potential Employers, we're here to lend you a Helping Hand.<br><br>Report<br><br>Disclaimer: talentmate.com is only a platform to bring jobseekers & employers together. Applicants are advised to research the bonafides of the prospective employer independently. We do NOT endorse any requests for money payments and strictly advice against sharing personal or bank related information. We also recommend you visit Security Advice for more information. If you suspect any fraud or malpractice, email us at abuse@talentmate.com.

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: Astronomer 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 Astronomer Quality Assurance Lead to oversee quality, consistency, and trainer performance across astronomy and astrophysics AI training projects. You will review AI-generated astronomy/astrophysics 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 scientific accuracy, physical reasoning, mathematical correctness, terminology quality, unit handling, observational context, 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 astronomy/astrophysics 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 astronomy/astrophysics quality leadership will directly help improve the world’s premier AI models by ensuring that astronomy and astrophysics training data is accurate, physically sound, clearly explained, well-documented, 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 Astronomy, Astrophysics, Physics, Space Science, Planetary Science, Cosmology, 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 astronomy/astrophysics research, teaching, science communication, academic review, data analysis, observatory work, or related scientific workflows. Strong understanding of celestial mechanics, stellar evolution, galaxies, cosmology, electromagnetic radiation, observational methods, spectroscopy, planetary systems, black holes, and scientific uncertainty. Ability to evaluate astronomy/astrophysics content against detailed rubrics and identify issues such as incorrect physical assumptions, wrong units, flawed calculations, hallucinated facts, misleading explanations, or oversimplified conclusions. Familiarity with tools or methods such as Python, astronomical datasets, telescope/observatory data, spectroscopy, photometry, simulations, LaTeX, Jupyter notebooks, or scientific visualization is preferred. Experience leading or supporting remote teams of researchers, educators, reviewers, annotators, science 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, calibration tasks, and documentation. Experience with AI training, data annotation, LLM evaluation, scientific QA, academic review, or rubric-based review is a strong plus.<br><br>Key Responsibilities<br><br>Quality monitoring: Spot-check astronomy/astrophysics items, identify quality issues, provide ongoing feedback through DMs, and escalate recurring or critical issues. Scientific review: Evaluate AI-generated astronomy/astrophysics explanations, calculations, diagrams, observational interpretations, comparisons, and step-by-step reasoning for accuracy and clarity. Trainer and QA communication: Update trainers and QAs on Discord about new item guidelines, project changes, workflow updates, quality expectations, and astronomy/astrophysics-specific review standards. Question handling: Respond to trainer/QA questions clearly and promptly, especially around physical assumptions, units, astronomical terminology, observational methods, formulas, 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 astronomy/astrophysics 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 astronomy/astrophysics-specific review requirements. Quality alignment: Ensure all trainers and QAs apply astronomy/astrophysics review guidelines consistently and understand updates as projects evolve. Risk review: Flag misleading, overconfident, physically impossible, numerically incorrect, or poorly sourced astronomy/astrophysics claims. Process improvement: Identify recurring quality gaps, propose workflow improvements, and help build scalable QA processes for astronomy/astrophysics AI training projects.

Job Description<br><br>Job Title: Astronomer 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 Astronomer Quality Assurance Lead to oversee quality, consistency, and trainer performance across astronomy and astrophysics AI training projects. You will review AI-generated astronomy/astrophysics 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 scientific accuracy, physical reasoning, mathematical correctness, terminology quality, unit handling, observational context, 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 astronomy/astrophysics 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 astronomy/astrophysics quality leadership will directly help improve the world’s premier AI models by ensuring that astronomy and astrophysics training data is accurate, physically sound, clearly explained, well-documented, 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 Astronomy, Astrophysics, Physics, Space Science, Planetary Science, Cosmology, 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 astronomy/astrophysics research, teaching, science communication, academic review, data analysis, observatory work, or related scientific workflows. Strong understanding of celestial mechanics, stellar evolution, galaxies, cosmology, electromagnetic radiation, observational methods, spectroscopy, planetary systems, black holes, and scientific uncertainty. Ability to evaluate astronomy/astrophysics content against detailed rubrics and identify issues such as incorrect physical assumptions, wrong units, flawed calculations, hallucinated facts, misleading explanations, or oversimplified conclusions. Familiarity with tools or methods such as Python, astronomical datasets, telescope/observatory data, spectroscopy, photometry, simulations, LaTeX, Jupyter notebooks, or scientific visualization is preferred. Experience leading or supporting remote teams of researchers, educators, reviewers, annotators, science 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, calibration tasks, and documentation. Experience with AI training, data annotation, LLM evaluation, scientific QA, academic review, or rubric-based review is a strong plus.<br><br>Key Responsibilities<br><br>Quality monitoring: Spot-check astronomy/astrophysics items, identify quality issues, provide ongoing feedback through DMs, and escalate recurring or critical issues. Scientific review: Evaluate AI-generated astronomy/astrophysics explanations, calculations, diagrams, observational interpretations, comparisons, and step-by-step reasoning for accuracy and clarity. Trainer and QA communication: Update trainers and QAs on Discord about new item guidelines, project changes, workflow updates, quality expectations, and astronomy/astrophysics-specific review standards. Question handling: Respond to trainer/QA questions clearly and promptly, especially around physical assumptions, units, astronomical terminology, observational methods, formulas, 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 astronomy/astrophysics 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 astronomy/astrophysics-specific review requirements. Quality alignment: Ensure all trainers and QAs apply astronomy/astrophysics review guidelines consistently and understand updates as projects evolve. Risk review: Flag misleading, overconfident, physically impossible, numerically incorrect, or poorly sourced astronomy/astrophysics claims. Process improvement: Identify recurring quality gaps, propose workflow improvements, and help build scalable QA processes for astronomy/astrophysics AI training projects.

<div> <p> <strong>POSITION SUMMARY</strong> </p> <p> </p> <p>Fix minor plumbing problems such as unclogging drains. Assemble pipe sections, tubing, and fittings. Fill pipes or plumbing fixtures with water or air to detect and locate leaks. Review blueprints, building codes, and specifications. Study building plan and inspect structure in order to plan installations. Measure, cut, thread, and bend pipe to required angle. Install and maintain pipe assemblies, fittings, valves, appliances, and fixtures. Perform miscellaneous minor repairs. Perform preventative maintenance on tools and equipment.</p> <p> </p> <p>Follow all company and safety and security policies and procedures; and report safety hazards, accidents, or injuries; complete safety training and certifications. Ensure uniform and personal appearance are clean and professional, maintain confidentiality of proprietary information, and protect company assets. Welcome and acknowledge all guests according to company standards and anticipate and address guests service needs. Develop and maintain positive working relationships with others. Speak with others using clear and professional language. Ensure adherence to quality expectations and standards. Move, lift, carry, push, pull, and place objects weighing less than or equal to 75 pounds without assistance. Assist with moving, lifting, carrying, and placing of objects weighing in excess of 100 pounds. Grasp, turn, and manipulate objects of varying size and weight. Reach overhead and below the knees, including bending, twisting, pulling, and stooping. Move up and down a ladder. Stand, sit, or walk for an extended period of time. Perform other reasonable job duties as requested by Supervisors.</p> <p> </p> <p><b><br></b></p><p><b>PREFERRED QUALIFICATIONS </b></p> <p>Education: Technical, Trade, or Vocational School Degree.</p> <p>Related Work Experience: At least 2 years related work experience.</p> <p>Supervisory Experience: No supervisory experience.</p> <p> </p> <p>REQUIRED QUALIFICATIONS</p> <p>License or Certification: Stationary Engineer/Boiler Operator License</p> <p>Plumber Certification</p> <p> </p> <p> </p> </div> <div> </div> <p><br></p>

Role Description The Industrial Automation Specialist is a part-time remote role responsible for designing, implementing, and optimizing automation solutions that support Infomet’s financial control and data-driven services. This role involves analyzing existing processes, identifying automation opportunities, and configuring tools or workflows to improve efficiency and reliability. The specialist will develop and execute test cases, perform troubleshooting, and ensure quality assurance standards are met for automated systems and integrations. Daily tasks include collaborating with finance and technology teams, documenting automation workflows, monitoring system performance, and proposing improvements that enhance stability and scalability. Qualifications Candidates should possess strong Process Automation and Automation skills, including designing, implementing, and maintaining automated workflows. Candidates should possess solid Troubleshooting abilities to diagnose issues, resolve system failures, and optimize automation performance. Candidates should possess experience with Test Cases and Quality Assurance to validate automation logic, ensure reliability, and maintain documentation. Relevant experience with industrial automation tools, scripting or low-code platforms, and integration between systems (e.g., ERP, accounting, or data platforms) is beneficial. A background in engineering, computer science, industrial automation, or a related technical field, with strong analytical and problem-solving skills, is preferred. Ability to work independently in a remote setting, communicate clearly with cross-functional teams, and manage part-time workloads effectively. Familiarity with financial processes, data pipelines, or business intelligence environments is a plus.

About This Opportunity<br><br>We're working with a leading foundational AI lab to find experienced strategy consultants from top firms (e.g. McKinsey, BCG, or Bain) who can help train their latest language model on professional presentation and slide deck tasks.<br><br>We're looking for strategy consultants with 3+ years at a top strategy firm (e.g. McKinsey, BCG, or Bain) to create, evaluate, and refine AI-generated presentations and slide decks across core workflows: storyline development, executive summary writing, slide structuring, horizontal and vertical logic, data-driven exhibit design, and client-ready deck production.<br><br>Compensation: $100/hour<br><br>Commitment: Flexible, 5-20 hours per week (or more if desired)<br><br>Location: Fully remote, work on your own schedule<br><br>Start date: ASAP<br><br>Qualifications<br><br> 3+ years as a strategy consultant at a top strategy firm (e.g. McKinsey, BCG, or Bain) Deep expertise in structured communication, storylining, and slide craftsmanship Expert-level Power Point and slide craftsmanship, with excellent written communication and attention to detail<br><br>About Ethos<br><br>Ethos is a new expert network built by a McKinsey/Soft Bank/Deep Mind team and backed by world-leading investors like General Catalyst. We connect experts with investors and consultancies for paid expert calls, speaking engagements, and advisory opportunities.<br><br>Key Requirements<br><br>3+ years as a consultant at a top strategy firm (e.g. McKinsey, BCG, or Bain) Deep expertise in structured communication, storylining, and slide craftsmanship Expert-level Power Point and slide craftsmanship, with excellent written communication and attention to detail

About This Opportunity<br><br>We're working with a leading foundational AI lab to find experienced procurement and vendor management leads who can help train their latest language model on professional document, spreadsheet, and slide deck tasks.<br><br>We're looking for procurement and vendor management leads with 4+ years running sourcing and supplier-management processes to create, evaluate, and refine AI-generated documents, spreadsheets, and slide decks across core workflows: RFP and RFQ drafting, vendor-scoring and evaluation matrices, supplier-contract and SLA review, spend-analysis reports, vendor-risk assessments, and category strategy and savings-pipeline reviews.<br><br>Compensation: $70/hour<br><br>Commitment: Flexible, 5-20 hours per week (or more if desired)<br><br>Location: Fully remote, work on your own schedule<br><br>Start date: ASAP<br><br>Qualifications<br><br> 4+ years in procurement, sourcing, or vendor/supplier management Direct ownership of running RFPs/RFQs and negotiating or reviewing vendor contracts and SLAs Expert-level document, spreadsheet, and slide craftsmanship, with excellent written communication and attention to detail<br><br>About Ethos<br><br>Ethos is a new expert network built by a McKinsey/Soft Bank/Deep Mind team and backed by world-leading investors like General Catalyst. We connect experts with investors and consultancies for paid expert calls, speaking engagements, and advisory opportunities.<br><br>Key Requirements<br><br>4+ years in procurement, sourcing, or vendor/supplier management Direct ownership of running RFPs/RFQs and negotiating or reviewing vendor contracts and SLAsExpert-level document, spreadsheet, and slide craftsmanship, with excellent written communication and attention to detail

About This Opportunity<br><br>We're working with a leading foundational AI lab to find experienced category managers who can help train their latest language model on professional document, spreadsheet, and slide deck tasks.<br><br>We're looking for category managers with 4+ years running sourcing and supplier-management processes to create, evaluate, and refine AI-generated documents, spreadsheets, and slide decks across core workflows: RFP and RFQ drafting, vendor-scoring and evaluation matrices, supplier-contract and SLA review, spend-analysis reports, vendor-risk assessments, and category strategy and savings-pipeline reviews.<br><br>Compensation: $70/hour<br><br>Commitment: Flexible, 5-20 hours per week (or more if desired)<br><br>Location: Fully remote, work on your own schedule<br><br>Start date: ASAP<br><br>Qualifications<br><br> 4+ years in procurement, sourcing, or vendor/supplier management Direct ownership of running RFPs/RFQs and negotiating or reviewing vendor contracts and SLAs Expert-level document, spreadsheet, and slide craftsmanship, with excellent written communication and attention to detail<br><br>About Ethos<br><br>Ethos is a new expert network built by a McKinsey/Soft Bank/Deep Mind team and backed by world-leading investors like General Catalyst. We connect experts with investors and consultancies for paid expert calls, speaking engagements, and advisory opportunities.<br><br>Key Requirements<br><br>4+ years in procurement, sourcing, or vendor/supplier management Direct ownership of running RFPs/RFQs and negotiating or reviewing vendor contracts and SLAsExpert-level document, spreadsheet, and slide craftsmanship, with excellent written communication and attention to detail

About This Opportunity<br><br>We're working with a leading foundational AI lab to find experienced people partners who can help train their latest language model on professional document, spreadsheet, and slide deck tasks.<br><br>We're looking for people partners with 4+ years running HR processes and hiring pipelines to create, evaluate, and refine AI-generated documents, spreadsheets, and slide decks across core workflows: job descriptions and interview scorecards, offer letters and compensation rationale, HR policy and handbook drafting, performance-review templates, candidate-feedback and rejection communications, and headcount and compensation-band trackers.<br><br>Compensation: $70/hour<br><br>Commitment: Flexible, 5-20 hours per week (or more if desired)<br><br>Location: Fully remote, work on your own schedule<br><br>Start date: ASAP<br><br>Qualifications<br><br> 4+ years as an HR generalist, recruiter, or people operations professional Direct ownership of writing job descriptions, offer letters, HR policy, or performance-review materials Expert-level document, spreadsheet, and slide craftsmanship, with excellent written communication and attention to detail<br><br>About Ethos<br><br>Ethos is a new expert network built by a McKinsey/Soft Bank/Deep Mind team and backed by world-leading investors like General Catalyst. We connect experts with investors and consultancies for paid expert calls, speaking engagements, and advisory opportunities.<br><br>Key Requirements<br><br>4+ years as an HR generalist, recruiter, or people operations professional Direct ownership of writing job descriptions, offer letters, HR policy, or performance-review materials Expert-level document, spreadsheet, and slide craftsmanship, with excellent written communication and attention to detail

About This Opportunity<br><br>We're working with a leading foundational AI lab to find experienced recruiters who can help train their latest language model on professional document, spreadsheet, and slide deck tasks.<br><br>We're looking for recruiters with 4+ years running HR processes and hiring pipelines to create, evaluate, and refine AI-generated documents, spreadsheets, and slide decks across core workflows: job descriptions and interview scorecards, offer letters and compensation rationale, HR policy and handbook drafting, performance-review templates, candidate-feedback and rejection communications, and headcount and compensation-band trackers.<br><br>Compensation: $70/hour<br><br>Commitment: Flexible, 5-20 hours per week (or more if desired)<br><br>Location: Fully remote, work on your own schedule<br><br>Start date: ASAP<br><br>Qualifications<br><br> 4+ years as an HR generalist, recruiter, or people operations professional Direct ownership of writing job descriptions, offer letters, HR policy, or performance-review materials Expert-level document, spreadsheet, and slide craftsmanship, with excellent written communication and attention to detail<br><br>About Ethos<br><br>Ethos is a new expert network built by a McKinsey/Soft Bank/Deep Mind team and backed by world-leading investors like General Catalyst. We connect experts with investors and consultancies for paid expert calls, speaking engagements, and advisory opportunities.<br><br>Key Requirements<br><br>4+ years as an HR generalist, recruiter, or people operations professional Direct ownership of writing job descriptions, offer letters, HR policy, or performance-review materials Expert-level document, spreadsheet, and slide craftsmanship, with excellent written communication and attention to detail

About This Opportunity<br><br>We're working with a leading foundational AI lab to find experienced HR business partners who can help train their latest language model on professional document, spreadsheet, and slide deck tasks.<br><br>We're looking for HR business partners with 4+ years running HR processes and hiring pipelines to create, evaluate, and refine AI-generated documents, spreadsheets, and slide decks across core workflows: job descriptions and interview scorecards, offer letters and compensation rationale, HR policy and handbook drafting, performance-review templates, candidate-feedback and rejection communications, and headcount and compensation-band trackers.<br><br>Compensation: $70/hour<br><br>Commitment: Flexible, 5-20 hours per week (or more if desired)<br><br>Location: Fully remote, work on your own schedule<br><br>Start date: ASAP<br><br>Qualifications<br><br> 4+ years as an HR generalist, recruiter, or people operations professional Direct ownership of writing job descriptions, offer letters, HR policy, or performance-review materials Expert-level document, spreadsheet, and slide craftsmanship, with excellent written communication and attention to detail<br><br>About Ethos<br><br>Ethos is a new expert network built by a McKinsey/Soft Bank/Deep Mind team and backed by world-leading investors like General Catalyst. We connect experts with investors and consultancies for paid expert calls, speaking engagements, and advisory opportunities.<br><br>Key Requirements<br><br>4+ years as an HR generalist, recruiter, or people operations professional Direct ownership of writing job descriptions, offer letters, HR policy, or performance-review materials Expert-level document, spreadsheet, and slide craftsmanship, with excellent written communication and attention to detail

About This Opportunity<br><br>We're working with a leading foundational AI lab to find experienced people operations managers who can help train their latest language model on professional document, spreadsheet, and slide deck tasks.<br><br>We're looking for people operations managers with 4+ years running HR processes and hiring pipelines to create, evaluate, and refine AI-generated documents, spreadsheets, and slide decks across core workflows: job descriptions and interview scorecards, offer letters and compensation rationale, HR policy and handbook drafting, performance-review templates, candidate-feedback and rejection communications, and headcount and compensation-band trackers.<br><br>Compensation: $70/hour<br><br>Commitment: Flexible, 5-20 hours per week (or more if desired)<br><br>Location: Fully remote, work on your own schedule<br><br>Start date: ASAP<br><br>Qualifications<br><br> 4+ years as an HR generalist, recruiter, or people operations professional Direct ownership of writing job descriptions, offer letters, HR policy, or performance-review materials Expert-level document, spreadsheet, and slide craftsmanship, with excellent written communication and attention to detail<br><br>About Ethos<br><br>Ethos is a new expert network built by a McKinsey/Soft Bank/Deep Mind team and backed by world-leading investors like General Catalyst. We connect experts with investors and consultancies for paid expert calls, speaking engagements, and advisory opportunities.<br><br>Key Requirements<br><br>4+ years as an HR generalist, recruiter, or people operations professional Direct ownership of writing job descriptions, offer letters, HR policy, or performance-review materials Expert-level document, spreadsheet, and slide craftsmanship, with excellent written communication and attention to detail

About This Opportunity<br><br>We're working with a leading foundational AI lab to find experienced strategic sourcing leads who can help train their latest language model on professional document, spreadsheet, and slide deck tasks.<br><br>We're looking for strategic sourcing leads with 4+ years running sourcing and supplier-management processes to create, evaluate, and refine AI-generated documents, spreadsheets, and slide decks across core workflows: RFP and RFQ drafting, vendor-scoring and evaluation matrices, supplier-contract and SLA review, spend-analysis reports, vendor-risk assessments, and category strategy and savings-pipeline reviews.<br><br>Compensation: $70/hour<br><br>Commitment: Flexible, 5-20 hours per week (or more if desired)<br><br>Location: Fully remote, work on your own schedule<br><br>Start date: ASAP<br><br>Qualifications<br><br> 4+ years in procurement, sourcing, or vendor/supplier management Direct ownership of running RFPs/RFQs and negotiating or reviewing vendor contracts and SLAs Expert-level document, spreadsheet, and slide craftsmanship, with excellent written communication and attention to detail<br><br>About Ethos<br><br>Ethos is a new expert network built by a McKinsey/Soft Bank/Deep Mind team and backed by world-leading investors like General Catalyst. We connect experts with investors and consultancies for paid expert calls, speaking engagements, and advisory opportunities.<br><br>Key Requirements<br><br>4+ years in procurement, sourcing, or vendor/supplier management Direct ownership of running RFPs/RFQs and negotiating or reviewing vendor contracts and SLAsExpert-level document, spreadsheet, and slide craftsmanship, with excellent written communication and attention to detail

About This Opportunity<br><br>We're working with a leading foundational AI lab to find experienced supplier managers who can help train their latest language model on professional document, spreadsheet, and slide deck tasks.<br><br>We're looking for supplier managers with 4+ years running sourcing and supplier-management processes to create, evaluate, and refine AI-generated documents, spreadsheets, and slide decks across core workflows: RFP and RFQ drafting, vendor-scoring and evaluation matrices, supplier-contract and SLA review, spend-analysis reports, vendor-risk assessments, and category strategy and savings-pipeline reviews.<br><br>Compensation: $70/hour<br><br>Commitment: Flexible, 5-20 hours per week (or more if desired)<br><br>Location: Fully remote, work on your own schedule<br><br>Start date: ASAP<br><br>Qualifications<br><br> 4+ years in procurement, sourcing, or vendor/supplier management Direct ownership of running RFPs/RFQs and negotiating or reviewing vendor contracts and SLAs Expert-level document, spreadsheet, and slide craftsmanship, with excellent written communication and attention to detail<br><br>About Ethos<br><br>Ethos is a new expert network built by a McKinsey/Soft Bank/Deep Mind team and backed by world-leading investors like General Catalyst. We connect experts with investors and consultancies for paid expert calls, speaking engagements, and advisory opportunities.<br><br>Key Requirements<br><br>4+ years in procurement, sourcing, or vendor/supplier management Direct ownership of running RFPs/RFQs and negotiating or reviewing vendor contracts and SLAsExpert-level document, spreadsheet, and slide craftsmanship, with excellent written communication and attention to detail

About This Opportunity<br><br>We're working with a leading foundational AI lab to find experienced vendor managers who can help train their latest language model on professional document, spreadsheet, and slide deck tasks.<br><br>We're looking for vendor managers with 4+ years running sourcing and supplier-management processes to create, evaluate, and refine AI-generated documents, spreadsheets, and slide decks across core workflows: RFP and RFQ drafting, vendor-scoring and evaluation matrices, supplier-contract and SLA review, spend-analysis reports, vendor-risk assessments, and category strategy and savings-pipeline reviews.<br><br>Compensation: $70/hour<br><br>Commitment: Flexible, 5-20 hours per week (or more if desired)<br><br>Location: Fully remote, work on your own schedule<br><br>Start date: ASAP<br><br>Qualifications<br><br> 4+ years in procurement, sourcing, or vendor/supplier management Direct ownership of running RFPs/RFQs and negotiating or reviewing vendor contracts and SLAs Expert-level document, spreadsheet, and slide craftsmanship, with excellent written communication and attention to detail<br><br>About Ethos<br><br>Ethos is a new expert network built by a McKinsey/Soft Bank/Deep Mind team and backed by world-leading investors like General Catalyst. We connect experts with investors and consultancies for paid expert calls, speaking engagements, and advisory opportunities.<br><br>Key Requirements<br><br>4+ years in procurement, sourcing, or vendor/supplier management Direct ownership of running RFPs/RFQs and negotiating or reviewing vendor contracts and SLAsExpert-level document, spreadsheet, and slide craftsmanship, with excellent written communication and attention to detail

We are looking for data Scientist for a three months maternity cover role based in Dubai. Below are the skills required -Minimum Experience and Knowledge:Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, Economics, Engineering, or a related quantitative field.5–8 years of experience in Data Science, Machine Learning, Advanced Analytics, or AI-driven product development. Strong proficiency in Python and SQL, with a solid understanding of machine learning algorithms and analytical techniques. Proven experience building, validating, and deploying predictive and prescriptive models to solve business problems. Hands-on experience with Azure Databricks, cloud-based analytics platforms, and large-scale data environments. Strong knowledge of statistical modeling, experimentation (A/B testing), forecasting, clustering, classification, recommendation systems, and model evaluation. Experience with Generative AI, Large Language Models (LLMs), prompt engineering, Retrieval-Augmented Generation (RAG), AI agents, or AI-powered automation solutions is highly desirable. Experience translating business problems into scalable data science solutions and collaborating with cross-functional teams to deliver measurable business impact. Background in Retail, Customer Analytics, Digital Analytics, E-commerce, Loyalty, or CRM analytics is preferred. Excellent communication, stakeholder management, and data storytelling skills, with the ability to explain complex analytical concepts to both technical and non-technical audiences. Strong problem-solving skills with the ability to balance technical excellence, business impact, and strategic thinking.

Role: Document Reviewer (Remote) Location: Remote (Work from Anywhere) Job Type: Contract Payout: $63 - $119/hour<br>Role Overview:This role involves reviewing and analyzing documents to ensure accuracy, compliance, and consistency with established guidelines. The position requires attention to detail and adherence to strict confidentiality standards.<br>Key Responsibilities:• Review and evaluate documents for completeness, accuracy, and adherence to formatting guidelines.• Identify discrepancies, inconsistencies, or errors in documents and flag them for correction.• Maintain detailed records of document reviews, including notes on issues identified and actions taken.• Collaborate with team members to resolve document-related queries and ensure alignment with project requirements.• Follow established workflows and quality control procedures to meet project deadlines.<br>Required Skills & Qualifications:• Experience in document review, proofreading, or quality assurance is required.• Proficiency in reviewing legal, financial, technical, or other specialized documents is necessary.• Strong attention to detail and ability to maintain high accuracy in review processes.• Familiarity with document management systems or tools is a plus.• Ability to work independently with minimal supervision while meeting deadlines.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the Information Services industry, contributing to the maintenance of high standards in document integrity and compliance.<br>Equal Opportunity Employer:We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.<br>Apply Now!