Model Jobs in UAE

Role: Software Quality Engineer (Remote) Location: Remote (Work from Anywhere) Job Type: Full-Time Payout: Competitive, based on experience<br>Role Overview:We are hiring for one of our clients, seeking a Agentic Coding Annotator - Online / Offline Tasks to work on a full-time basis. This role involves working with realistic coding tasks in an agentic coding harness, reviewing model trajectories, verifying solutions, and producing high-quality annotations. Candidates are expected to read and debug code, validate behavior, follow detailed process rules, and make consistent judgment calls across model runs.<br>Key Responsibilities:• Execute realistic coding tasks within the assigned agentic coding harness while maintaining model blindness and session independence• Follow task instructions, milestones, planned interactions, and evaluation guardrails consistently across runs• Verify model outputs by reading code, running commands, checking logs, and inspecting generated artifacts• Design multi-step, realistic coding tasks including user intent and milestone structure for offline evaluations• Write clear, specific, evidence-based rationales for trajectory rankings and assessments<br>Required Skills & Qualifications:• Proficiency in Python, Java Script, Java, C++, or SQL for code analysis and debugging• Experience working with realistic software tasks beyond toy problems or shallow code-review exercises• Ability to design task-specific rubrics and binary evaluation criteria for model outputs• Strong attention to detail to ensure high-quality annotations and consistent grading• Comfort with debugging, test validation, and manual verification of software behavior<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the Technology, Information and Internet industry, contributing to the advancement and deployment of powerful AI systems. The work directly supports the development of agentic coding models used for mission-critical applications.<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!

Role: Software Quality Engineer (Remote) Location: Remote (Work from Anywhere) Job Type: Full-Time Payout: Competitive, based on experience<br>Role Overview:We are hiring for one of our clients, seeking a Agentic Coding Annotator - Online / Offline Tasks to work on a full-time basis. This role involves working with realistic coding tasks in an agentic coding harness, reviewing model trajectories, verifying solutions, and producing high-quality annotations. Candidates are expected to read and debug code, validate behavior, follow detailed process rules, and make consistent judgment calls across model runs.<br>Key Responsibilities:• Execute realistic coding tasks within the assigned agentic coding harness while maintaining model blindness and session independence• Follow task instructions, milestones, planned interactions, and evaluation guardrails consistently across runs• Verify model outputs by reading code, running commands, checking logs, and inspecting generated artifacts• Design multi-step, realistic coding tasks including user intent and milestone structure for offline evaluations• Write clear, specific, evidence-based rationales for trajectory rankings and assessments<br>Required Skills & Qualifications:• Proficiency in Python, Java Script, Java, C++, or SQL for code analysis and debugging• Experience working with realistic software tasks beyond toy problems or shallow code-review exercises• Ability to design task-specific rubrics and binary evaluation criteria for model outputs• Strong attention to detail to ensure high-quality annotations and consistent grading• Comfort with debugging, test validation, and manual verification of software behavior<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the Technology, Information and Internet industry, contributing to the advancement and deployment of powerful AI systems. The work directly supports the development of agentic coding models used for mission-critical applications.<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!

Role: Software Quality Engineer (Remote) Location: Remote (Work from Anywhere) Job Type: Full-Time Payout: Competitive, based on experience<br>Role Overview:We are hiring for one of our clients, seeking a Agentic Coding Annotator - Online / Offline Tasks to work on a full-time basis. This role involves working with realistic coding tasks in an agentic coding harness, reviewing model trajectories, verifying solutions, and producing high-quality annotations. Candidates are expected to read and debug code, validate behavior, follow detailed process rules, and make consistent judgment calls across model runs.<br>Key Responsibilities:• Execute realistic coding tasks within the assigned agentic coding harness while maintaining model blindness and session independence• Follow task instructions, milestones, planned interactions, and evaluation guardrails consistently across runs• Verify model outputs by reading code, running commands, checking logs, and inspecting generated artifacts• Design multi-step, realistic coding tasks including user intent and milestone structure for offline evaluations• Write clear, specific, evidence-based rationales for trajectory rankings and assessments<br>Required Skills & Qualifications:• Proficiency in Python, Java Script, Java, C++, or SQL for code analysis and debugging• Experience working with realistic software tasks beyond toy problems or shallow code-review exercises• Ability to design task-specific rubrics and binary evaluation criteria for model outputs• Strong attention to detail to ensure high-quality annotations and consistent grading• Comfort with debugging, test validation, and manual verification of software behavior<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the Technology, Information and Internet industry, contributing to the advancement and deployment of powerful AI systems. The work directly supports the development of agentic coding models used for mission-critical applications.<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!

<ul><li><p>Designs and develops scalable machine learning models and AI-driven</p><p>solutions to address complex business challenges and enhance decision-</p><p>making processes</p><p>KEY RESPONSIBILITIE S</p><ul><li><p>Work with large and complex data sets to solve challenging business</p></li></ul><p>problems</p><ul><li><p>Collect, clean, and preprocess large datasets for analysis & model training</p></li><li><p>Perform exploratory data analysis (EDA) to uncover insights and inform model</p></li></ul><p>development</p><ul><li><p>Develop, train, and optimize machine learning models using state-of-the-art</p></li></ul><p>algorithms and frameworks</p><ul><li><p>Build end-to-end ML pipelines, including data ingestion, transformation, model</p></li></ul><p>training, validation, and deployment</p><ul><li><p>Automate workflows for model training, testing, and deployment using</p></li></ul><p>CI/CD pipelines and MLOps tools</p><ul><li><p>Collaborate with cross-functional teams to integrate models into applications</p></li></ul><p>and deliver end-to-end solutions</p></li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li><p>5 years of experience in data science, machine learning, or AI</p><ul><li><p>Expertise in supervised/unsupervised learning, deep learning, NLP, computer</p></li></ul><p>vision, or generative AI (e.g., LLMs).</p><ul><li><p>Strong proficiency in Python and/or R; familiarity with SQL for data querying</p></li><li><p>Ability to build data pipelines (Spark, Airflow, Hadoop) and work with big data</p></li></ul><p>tools</p><ul><li><p>Understanding of model serving, API development (FastAPI, Flask), and</p></li></ul><p>optimizing model performance for real-time or batch inference.</p><ul><li><p>Knowledge of Docker, Kubernetes, CI/CD pipelines, and tools like</p></li></ul><p>MLflow/Kubeflow for model lifecycle management (MLOps)</p><p>Classified: Internal\ FAB.</p><p>Internal</p><ul><li><p>Experience deploying models on AWS, Google Cloud, Azure, or similar (e.g.,</p></li></ul><p>Sagemaker, Vertex AI)</p><ul><li><p>Educational qualifications: Master in Computer Science or a related field</p></li></ul><p>Work Experience</p><p>5-7Years</p></li></ul>

<ul><li><p>Designs and develops scalable machine learning models and AI-driven</p><p>solutions to address complex business challenges and enhance decision-</p><p>making processes</p><p>KEY RESPONSIBILITIES</p><ul><li><p>Work with large and complex data sets to solve challenging business</p></li></ul><p>problems</p><ul><li><p>Efficient training and deployment of standard ML, NN, and Agentic models.</p></li><li><p>Develop, train, and optimize machine learning models using state-of-the-art</p></li></ul><p>algorithms and frameworks</p><ul><li><p>Build production grade end-to-end ML pipelines, including data ingestion,</p></li></ul><p>transformation, model training, validation, and deployment</p><ul><li><p>Automate workflows for model training, testing, and deployment using</p></li></ul><p>CI/CD pipelines and MLOps tools</p><ul><li><p>Collaborate with cross-functional teams to integrate models into applications</p></li></ul><p>and deliver end-to-end solutions</p><ul><li><p>Finetune SLMs/LLMs and build complex AI architectures</p></li></ul></li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li><p>(3-7) years of experience in building production grade, scalable AI systems.</p><ul><li><p>Expert in supervised/unsupervised learning, deep learning, NLP, computer</p></li></ul><p>vision, or generative AI (e.g., LLMs).</p><ul><li><p>Strong ML system architecture skills</p></li><li><p>Understanding of model serving, API development (FastAPI, Flask), and</p></li></ul><p>optimizing model performance for real-time or batch inference.</p><ul><li><p>General Knowledge of Docker, Kubernetes, CI/CD pipelines, and tools like</p></li></ul><p>MLflow/Kubeflow for model lifecycle management (MLOps)</p><ul><li><p>Comfortable with deploying models on AWS or Azure</p></li><li><p>Minimum Educational qualifications: Bachelor’s degree in Computer Science,</p></li></ul><p>Engineering, or related field required</p><p>Classified: Internal\ FAB</p><p>Internal</p><ul><li><p>Preferred Education qualifications: Master or PhD in Computer Science or a</p></li></ul><p>related field.</p><p>Work Experience</p><p>7-10Years</p></li></ul>

Role: Python Engineer (Remote) Location: Remote (Work from Anywhere) Job Type: Full-Time Payout: Competitive, based on experience<br>Role Overview:We are hiring for one of our clients, seeking a Senior Python Developer to assist a foundational LLM company in enhancing their large language models. The goal is to provide high-quality proprietary data for fine-tuning and benchmarking model performance.<br>Key Responsibilities:• Design, develop, and maintain efficient, high-quality Python code to train and optimize AI models.• Conduct evaluations to benchmark model performance and analyze results for continuous improvement.• Evaluate and rank AI model responses to user queries across diverse domains, ensuring alignment with predefined criteria.• Lead efforts in supervised fine-tuning, including creating and maintaining high-quality, task-specific datasets.• Collaborate with researchers and annotators to execute reinforcement learning with human feedback and refine reward models.<br>Required Skills & Qualifications:• Proficiency in Python and related frameworks/libraries for AI/ML tasks.• Experience with supervised fine-tuning (SFT) and reinforcement learning with human feedback (RLHF).• Strong understanding of evaluation strategies and benchmarking processes for AI models.• Ability to design and implement Python code for data generation and model optimization.• Familiarity with AI model response evaluation and ranking methodologies.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in artificial intelligence, contributing to the advancement of large language models. Candidates will collaborate with top researchers and engineers in the field.<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!

Role: Python Engineer (Remote) Location: Remote (Work from Anywhere) Job Type: Full-Time Payout: Competitive, based on experience<br>Role Overview:We are hiring for one of our clients, seeking a Senior Python Developer to assist a foundational LLM company in enhancing their large language models. The goal is to provide high-quality proprietary data for fine-tuning and benchmarking model performance.<br>Key Responsibilities:• Design, develop, and maintain efficient, high-quality Python code to train and optimize AI models.• Conduct evaluations to benchmark model performance and analyze results for continuous improvement.• Evaluate and rank AI model responses to user queries across diverse domains, ensuring alignment with predefined criteria.• Lead efforts in supervised fine-tuning, including creating and maintaining high-quality, task-specific datasets.• Collaborate with researchers and annotators to execute reinforcement learning with human feedback and refine reward models.<br>Required Skills & Qualifications:• Proficiency in Python and related frameworks/libraries for AI/ML tasks.• Experience with supervised fine-tuning (SFT) and reinforcement learning with human feedback (RLHF).• Strong understanding of evaluation strategies and benchmarking processes for AI models.• Ability to design and implement Python code for data generation and model optimization.• Familiarity with AI model response evaluation and ranking methodologies.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in artificial intelligence, contributing to the advancement of large language models. Candidates will collaborate with top researchers and engineers in the field.<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!

Role: Python Engineer (Remote) Location: Remote (Work from Anywhere) Job Type: Full-Time Payout: Competitive, based on experience<br>Role Overview:We are hiring for one of our clients, seeking a Senior Python Developer to assist a foundational LLM company in enhancing their large language models. The goal is to provide high-quality proprietary data for fine-tuning and benchmarking model performance.<br>Key Responsibilities:• Design, develop, and maintain efficient, high-quality Python code to train and optimize AI models.• Conduct evaluations to benchmark model performance and analyze results for continuous improvement.• Evaluate and rank AI model responses to user queries across diverse domains, ensuring alignment with predefined criteria.• Lead efforts in supervised fine-tuning, including creating and maintaining high-quality, task-specific datasets.• Collaborate with researchers and annotators to execute reinforcement learning with human feedback and refine reward models.<br>Required Skills & Qualifications:• Proficiency in Python and related frameworks/libraries for AI/ML tasks.• Experience with supervised fine-tuning (SFT) and reinforcement learning with human feedback (RLHF).• Strong understanding of evaluation strategies and benchmarking processes for AI models.• Ability to design and implement Python code for data generation and model optimization.• Familiarity with AI model response evaluation and ranking methodologies.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in artificial intelligence, contributing to the advancement of large language models. Candidates will collaborate with top researchers and engineers in the field.<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!

Role: Physics Specialist (Remote) Location: Remote (Work from Anywhere) Job Type: Full-Time Payout: Competitive, based on experience<br>Role Overview:We are hiring for one of our clients, seeking a Physics Expert (PhD/Master's) to work on a full-time basis. You will design and solve challenging physics problems to probe the limitations of large language models. You will create clear, high-quality, step-by-step solutions with well-articulated reasoning.<br>Key Responsibilities:• Design and solve complex physics problems to evaluate large language model capabilities.• Create step-by-step solutions with detailed reasoning to assess model performance.• Collaborate with LLM researchers to align problems with evaluation goals, focusing on abstraction, multi-step reasoning, and symbolic manipulation.• Help define new evaluation benchmarks using physics curricula ranging from early undergraduate to PhD-level topics.• Provide constructive feedback and detailed annotations to improve model outputs.<br>Required Skills & Qualifications:• Strong foundation in physics, including quantum mechanics, relativity, and electromagnetism.• Ability to break down complex physics concepts into clear, simple explanations.• Excellent structured communication and collaboration skills in a remote setting.• Research and analytical skills with creative and lateral thinking abilities.• Self-motivated with the ability to work independently in a remote environment.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the Technology, Information and Internet industry, contributing to the development of advanced AI systems. The work helps bridge physics expertise with AI model evaluation, shaping the future of language model performance.<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!

Finance Data Analytics & Automation Consultant Assignment type: Six-month, full-time project assignment<br>Role Overview Our client is seeking a hands-on Finance Data Analytics & Automation Consultant for a six-month, full-time Finance transformation assignment. The consultant will partner with the Group Finance Director and Finance team to build a more automated, data-led, AI-enabled reporting environment. The role requires Finance reporting expertise, advanced Excel, Power BI, workflow automation, and practical AI-enabled reporting skills. The aim is to enhance current reporting and establish a scalable, intelligent Finance operating model. This is not an IT-only, dashboard-only, or advisory-only role; the consultant must convert Finance logic into practical automated outputs.<br>Assignment Duration and Work Arrangement Duration: Initial six-month assignment Capacity: Full-time, five days per week Location: Onsite with the Finance team in Dubai - UAEReporting line: Group Finance Director Any extension will depend on project needs and performance.<br>Project Context Finance is shifting toward automated, AI-enabled reporting and decision support to reduce manual effort and produce structured outputs, including:Post-close reporting and MIS analysis Structured financial and operational data Power BI dashboards with drill-downs Automated variance, trend analysis, and AI-assisted summaries Faster, more consistent Finance outputs The immediate focus is to improve existing models and reporting while developing an automated reporting platform.<br>Key Responsibilities Finance Process and Model Review Review Finance reporting processes, management packs, and models. Assess trial balance, GL, entity, cost-centre, budget, and reporting outputs. Find opportunities to simplify and automate reporting. Optimize Excel-based Finance models as needed. Excel Modelling and Data Extraction Work with complex Excel financial models and reporting files. Improve model structure, formulas, links, and efficiency. Convert model outputs into clean datasets for automation, dashboards, and analysis. Support model simplification and documentation. Finance Data Automation Build structured Finance datasets from trial balance, budget, entity, GL, cost-centre, and other inputs. Use Power Query to automate data cleansing, transformation, refresh, and validation. Build reconciliation checks and move reporting from manual Excel files to automated workflows. Power BI and Reporting Development Develop Power BI data models and Finance dashboards. Build automated MIS, P&L, Balance Sheet, entity, facility, and consolidated reporting views. Enable drill-downs and create variance, trend, KPI, and executive dashboard views. Workflow Automation and AI-Enabled Reporting Use Power Automate and related tools for reporting refresh, review, and distribution. Support AI-enabled Finance reporting, commentary, summaries, and exception analysis. Use approved AI tools where relevant, ensuring outputs are reviewable and Finance-approved. Documentation and Handover Document data flows, model logic, assumptions, and refresh processes. Prepare handover notes, user guidance, training materials, and knowledge transfer. Ensure Finance can maintain the solutions after the assignment. Required Skills And Experience The consultant should have hands-on experience in:Finance modelling: Advanced Excel, model optimization, P&L, Balance Sheet, budget versus actuals, variance, trend, trial balance, and GL mapping. Analytics and automation: Power Query, Power BI, DAX, Power Automate, dashboards, reporting automation, reconciliation, and validation. AI workflows: AI-assisted reporting or business analysis using Claude, Copilot, Chat GPT, or similar tools.<br>Ideal Profile Preferred experience: 6–10 years in Finance analytics, FP&A automation, business modelling, Power BI, Finance transformation, or reporting automation. Relevant backgrounds may include:Big 4, consulting, business modelling, or Finance transformation Finance analytics, FP&A automation, or Power BI Finance reporting Excel modelling, BI automation, or corporate FP&A reporting analysis The ideal candidate combines Finance knowledge with practical technical delivery. Finance Knowledge Required The consultant should understand:Trial balance, chart of accounts, GL mapping, and cost-centre reporting Entity, facility, P&L, Balance Sheet, budgeting, and forecasting structures Management packs, variance analysis, consolidation, and financial model structures A pure IT developer, AI engineer, or dashboard designer without Finance knowledge would not be suitable. Preferred Additional Exposure Additional useful exposure includes:Oracle/ERP reporting, SQL, database fundamentals, or Python automation Multi-entity, financial statement, audit-support, healthcare, services, or multi-site reporting Senior Finance or CFO-level reporting requirements Candidate Attributes The consultant should be:Hands-on, practical, structured, and solution-oriented Strong in Finance logic, automation, Excel models, and reporting packs Comfortable working with senior Finance stakeholders under tight timelines Able to translate business requirements into automated outputs Disciplined in confidentiality, documentation, handover, and knowledge transfer Finance Data Analytics & Automation Consultant in Dubai, United Arab Emirates

Finance Data Analytics & Automation Consultant Assignment type: Six-month, full-time project assignment<br>Role Overview Our client is seeking a hands-on Finance Data Analytics & Automation Consultant for a six-month, full-time Finance transformation assignment. The consultant will partner with the Group Finance Director and Finance team to build a more automated, data-led, AI-enabled reporting environment. The role requires Finance reporting expertise, advanced Excel, Power BI, workflow automation, and practical AI-enabled reporting skills. The aim is to enhance current reporting and establish a scalable, intelligent Finance operating model. This is not an IT-only, dashboard-only, or advisory-only role; the consultant must convert Finance logic into practical automated outputs.<br>Assignment Duration and Work Arrangement Duration: Initial six-month assignment Capacity: Full-time, five days per week Location: Onsite with the Finance team in Dubai - UAEReporting line: Group Finance Director Any extension will depend on project needs and performance.<br>Project Context Finance is shifting toward automated, AI-enabled reporting and decision support to reduce manual effort and produce structured outputs, including:Post-close reporting and MIS analysis Structured financial and operational data Power BI dashboards with drill-downs Automated variance, trend analysis, and AI-assisted summaries Faster, more consistent Finance outputs The immediate focus is to improve existing models and reporting while developing an automated reporting platform.<br>Key Responsibilities Finance Process and Model Review Review Finance reporting processes, management packs, and models. Assess trial balance, GL, entity, cost-centre, budget, and reporting outputs. Find opportunities to simplify and automate reporting. Optimize Excel-based Finance models as needed. Excel Modelling and Data Extraction Work with complex Excel financial models and reporting files. Improve model structure, formulas, links, and efficiency. Convert model outputs into clean datasets for automation, dashboards, and analysis. Support model simplification and documentation. Finance Data Automation Build structured Finance datasets from trial balance, budget, entity, GL, cost-centre, and other inputs. Use Power Query to automate data cleansing, transformation, refresh, and validation. Build reconciliation checks and move reporting from manual Excel files to automated workflows. Power BI and Reporting Development Develop Power BI data models and Finance dashboards. Build automated MIS, P&L, Balance Sheet, entity, facility, and consolidated reporting views. Enable drill-downs and create variance, trend, KPI, and executive dashboard views. Workflow Automation and AI-Enabled Reporting Use Power Automate and related tools for reporting refresh, review, and distribution. Support AI-enabled Finance reporting, commentary, summaries, and exception analysis. Use approved AI tools where relevant, ensuring outputs are reviewable and Finance-approved. Documentation and Handover Document data flows, model logic, assumptions, and refresh processes. Prepare handover notes, user guidance, training materials, and knowledge transfer. Ensure Finance can maintain the solutions after the assignment. Required Skills And Experience The consultant should have hands-on experience in:Finance modelling: Advanced Excel, model optimization, P&L, Balance Sheet, budget versus actuals, variance, trend, trial balance, and GL mapping. Analytics and automation: Power Query, Power BI, DAX, Power Automate, dashboards, reporting automation, reconciliation, and validation. AI workflows: AI-assisted reporting or business analysis using Claude, Copilot, Chat GPT, or similar tools.<br>Ideal Profile Preferred experience: 6–10 years in Finance analytics, FP&A automation, business modelling, Power BI, Finance transformation, or reporting automation. Relevant backgrounds may include:Big 4, consulting, business modelling, or Finance transformation Finance analytics, FP&A automation, or Power BI Finance reporting Excel modelling, BI automation, or corporate FP&A reporting analysis The ideal candidate combines Finance knowledge with practical technical delivery. Finance Knowledge Required The consultant should understand:Trial balance, chart of accounts, GL mapping, and cost-centre reporting Entity, facility, P&L, Balance Sheet, budgeting, and forecasting structures Management packs, variance analysis, consolidation, and financial model structures A pure IT developer, AI engineer, or dashboard designer without Finance knowledge would not be suitable. Preferred Additional Exposure Additional useful exposure includes:Oracle/ERP reporting, SQL, database fundamentals, or Python automation Multi-entity, financial statement, audit-support, healthcare, services, or multi-site reporting Senior Finance or CFO-level reporting requirements Candidate Attributes The consultant should be:Hands-on, practical, structured, and solution-oriented Strong in Finance logic, automation, Excel models, and reporting packs Comfortable working with senior Finance stakeholders under tight timelines Able to translate business requirements into automated outputs Disciplined in confidentiality, documentation, handover, and knowledge transfer Finance Data Analytics & Automation Consultant in Dubai, United Arab Emirates

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span><br>POSITION SUMMARY<br>Answer phones, take dining reservations, and enter diner information into reservation system. Maintain wait list and quote accurate wait time. Make appropriate seating decisions using station rotation chart. Organize seating for large and special needs groups. Greet guests and determine the number in their party. Seat guests by finding a clean, available table; pulling out chairs; placing clean/current menu in front of guest, etc. Guide guests through the dining rooms and provide any needed assistance. Ensure place settings are appropriate and each guest has a napkin, clean silverware, and any other item that is part of the standard place setting. Maintain cleanliness of work areas throughout the day. Monitor dining rooms for seating availability, service, and safety. Communicate with guests and other employees to meet guest needs and ensure staff is working together as a team.<br>Assist management in hiring, training, scheduling, evaluating, counseling, disciplining, and motivating and coaching employees; and serve as a role model. Follow all company and safety and security policies and procedures; report accidents, injuries, and unsafe work conditions to manager; and 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. Speak with others using clear and professional language, and answer telephones using appropriate etiquette. Develop and maintain positive working relationships with others, support team to reach common goals, and listen and respond appropriately to the concerns of other employees. Ensure adherence to quality expectations and standards. Stand, sit, or walk for an extended period of time. Move, lift, carry, push, pull, and place objects weighing less than or equal to 10 pounds without assistance. Perform other reasonable job duties as requested by Supervisors.<br>PREFERRED QUALIFICATIONS<br>Education: High school diploma or G.E.D. equivalent.<br>Related Work Experience: At least 1 year of related work experience.<br>Supervisory Experience: No supervisory experience.<br>License or Certification: None<br>At Marriott International, we are dedicated to being an equal opportunity employer, welcoming all and providing access to opportunity. We actively foster an environment where the unique backgrounds of our associates are valued and celebrated. Our greatest strength lies in the rich blend of culture, talent, and experiences of our associates. We are committed to non-discrimination on any protected basis, including disability, veteran status, or other basis protected by applicable law.<br>W Hotels’ mission is to Ignite Curiosity, Expand Worlds. We are a place to experience life. We’re here to open doors and open minds. We are constantly inspired by new faces and new experiences. A tuned-in, up-for-anything spirit is at our core and has made us renowned for reinventing the norms of luxury around the globe. Whatever/Whenever is our culture and service philosophy that brings our guests’ passions to life. If you are original, innovative, and always looking towards the future of what’s possible, welcome to W Hotels. In joining W Hotels, you join a portfolio of brands with Marriott International. Be where you can do your best work,​ begin&nbsp;your purpose,&nbsp;belong&nbsp;to an amazing global​&nbsp;team, and&nbsp;become&nbsp;the best version of you.</span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span><br>POSITION SUMMARY<br>Assist staff with expediting problem payments (e.g., problems processing credit card). Follow up with guest regarding satisfaction with guest-related issues. Process all guest check-ins by confirming reservations, assigning room, and issuing and activating room key. Process all payment types such as room charges, cash, checks, debit, or credit. Set up accurate accounts for each guest upon check-in (i.e., sharewiths, separate room/tax/incidentals, comp). Anticipate sold-out situations and obtain satisfactory alternative accommodations when the property cannot accommodate guests with reservations. Block rooms in the computer and identify designated requirements and requests. Contact appropriate individual or department (e.g., Bellperson, Housekeeping) as necessary to resolve guest call, request, or problem. Coordinate with Housekeeping to track readiness of rooms for check-in. Review shift logs/daily memo books and document pertinent information in logbooks. Count bank at the beginning and end of shift. Balance and drop receipts according to Accounting specifications.<br>Assist management in hiring, training, scheduling, evaluating, counseling, disciplining, motivating and coaching employees; serve as a role model and first point of contact of the Guarantee of Fair Treatment/Open Door Policy process. Report accidents, injuries, and unsafe work conditions to manager; complete safety training and certifications. Follow all company policies and procedures; ensure uniform and personal appearance are clean and professional; maintain confidentiality of proprietary information. Anticipate and address guests’ service needs. Speak with others using clear and professional language; prepare and review written documents accurately and completely; answer telephones using appropriate etiquette. Develop and maintain positive working relationships with others. Ensure adherence to quality expectations and standards. Stand, sit, or walk for an extended period of time. Move, lift, carry, push, pull, and place objects weighing less than or equal to 10 pounds without assistance. Perform other reasonable job duties as requested.<br>PREFERRED QUALIFICATIONS<br>Education: High school diploma or G.E.D. equivalent.<br>Related Work Experience: At least 1 year of related work experience.<br>Supervisory Experience: No supervisory experience.<br>License or Certification: None<br>At Marriott International, we are dedicated to being an equal opportunity employer, welcoming all and providing access to opportunity. We actively foster an environment where the unique backgrounds of our associates are valued and celebrated. Our greatest strength lies in the rich blend of culture, talent, and experiences of our associates. We are committed to non-discrimination on any protected basis, including disability, veteran status, or other basis protected by applicable law.<br>W Hotels’ mission is to Ignite Curiosity, Expand Worlds. We are a place to experience life. We’re here to open doors and open minds. We are constantly inspired by new faces and new experiences. A tuned-in, up-for-anything spirit is at our core and has made us renowned for reinventing the norms of luxury around the globe. Whatever/Whenever is our culture and service philosophy that brings our guests’ passions to life. If you are original, innovative, and always looking towards the future of what’s possible, welcome to W Hotels. In joining W Hotels, you join a portfolio of brands with Marriott International. Be where you can do your best work,​ begin&nbsp;your purpose,&nbsp;belong&nbsp;to an amazing global​&nbsp;team, and&nbsp;become&nbsp;the best version of you.</span> </div>

Company Overview BFL Group is one of the world’s leading off-price retailers of fashion and homeware. With headquarters based in United Arab Emirates, we serve over markets across the region and Southeast Asia. Our goal is to delight customers and entice them back with the promise of exceptional pieces that excite – all at up to 80% off the original retail price for fashion designer brands. Our unique “Treasure Hunt” model ensures there is always something new to explore, desire and discover within our stores. Our customers walk out with new items every time they visit any of our stores.<br>Role Purpose:The Senior Warehouse Supervisor is responsible for leading and managing end-to-end warehouse operations to ensure optimal workflow, accuracy, and efficiency. This role oversees multiple warehouse teams, drives operational excellence, and ensures compliance with company standards, safety policies, and regulatory requirements. The Senior Warehouse Supervisor plays a key role in planning daily operations, maintaining inventory integrity, improving processes, and supporting the Warehouse Manager in achieving strategic and operational goals.<br>Key Responsibilities:Operational Leadership & Workflow Management Perform Oversee and coordinate all warehouse activities across inbound, outbound, storage, picking, packing, dispatch, and return processes. Ensure timely, accurate, and efficient execution of receiving, scanning, sorting, put-away, picking, replenishment, and shipment tasks. Plan daily workloads, allocate manpower, and adjust resources to meet operational targets and service-level requirements. Monitor KPIs such as productivity, accuracy, turnaround time, and equipment utilization; identify and address performance gaps. Ensure strict adherence to SOPs, quality standards, and regulatory requirements.<br>Inventory Control & Accuracy:Oversee end-to-end inventory management, including receipt verification, stock movement tracking, cycle counts, and periodic audits. Ensure proper storage methods, bin accuracy, stock rotation, and handling to maintain inventory integrity. Investigate and resolve discrepancies related to quantity, quality, damage, returns, or misplacement. Review inventory reports, analyse root causes of variances, and implement corrective and preventive measures.<br>Team Leadership, Coaching & Performance Management:Act Supervise multiple teams and shift leaders, ensuring proper coordination and performance across all warehouse functions. Provide ongoing coaching, training, and skill development to enhance staff capability and productivity. Conduct performance reviews, address disciplinary matters, and support succession planning in coordination with the Warehouse Manager. Promote a high-performance culture focused on accountability, teamwork, safety, and continuous improvement.<br>Process Implementation, Improvement & Compliance:Support the Warehouse Manager in implementing new operational processes, productivity initiatives, and system enhancements. Lead continuous improvement efforts to enhance workflow efficiency, reduce errors, and optimize warehouse layout and storage utilization. Ensure proper handling and safeguarding of goods to minimize loss, spoilage, or breakage. Participate in WMS enhancements, data validation, and troubleshooting to ensure system accuracy and smooth operations.<br>Coordination, Reporting & Stakeholder Communication:Coordinate closely with logistics, transportation, procurement, and customer service teams for seamless operational planning. Prepare and present daily operational reports, KPI summaries, incident analyses, and workflow updates to the Warehouse Manager. Communicate priorities, challenges, and progress to team leaders and associates to ensure alignment and execution. Support customer-related operational requirements, including special projects, urgent orders, and service-level commitments.<br>Safety, Housekeeping & Facility Management:Coordinate Champion warehouse safety programs and enforce compliance with occupational health and safety regulations. Ensure facility cleanliness, organization, and hazard-free operation across all shifts. Oversee the proper use, routine maintenance, and servicing of warehouse equipment, tools, and machinery. Monitor operational expenses, ensure alignment with budget, and assist in planning cost-efficient resource utilization.<br>Requirements:High school diploma required; diploma/degree in Logistics, Supply Chain, or a related field is preferred. Minimum 4–6 years of warehouse experience, including 2–3 years in a supervisory or senior supervisory role. Strong knowledge of warehouse best practices, inventory management, and WMS/ERP systems. Proven leadership skills with the ability to manage large teams across multiple functions and shifts. Strong analytical thinking, problem-solving abilities, and decision-making skills under pressure. Excellent communication, organizational, and time-management capabilities. Ability to work in fast-paced environments and adapt to operational priorities. Willingness to work flexible or rotational shifts as required.<br><br>If you think you are fit for this job position, then apply right away. You are steps away from joining a Great Place to Work© and we would love to meet you soon!

<ul><li><p>AI & ML Engineering</p><ul><li><p>Develop, deploy, and optimize machine learning and deep learning models.</p></li><li><p>Build AI solutions for NLP, computer vision, predictive analytics, and intelligent automation.</p></li><li><p>Integrate AI services into enterprise applications and internal platforms.</p></li></ul><p>Generative AI</p><ul><li><p>Develop LLM-based applications, AI copilots, and RAG solutions.</p></li><li><p>Implement prompt engineering, model evaluation, embeddings, and semantic search.</p></li><li><p>Optimize model performance, scalability, and cost.</p></li></ul><p>Agentic AI</p><ul><li><p>Design and deploy autonomous and multi-agent AI systems.</p></li><li><p>Develop agent orchestration, planning, reasoning, memory, and tool integration.</p></li><li><p>Implement human-in-the-loop approvals and enterprise workflow automation.</p></li></ul><p>AI Operations (MLOps / LLMOps / AgentOps)</p><ul><li><p>Build CI/CD pipelines for AI models and agents.</p></li><li><p>Monitor AI systems for performance, drift, hallucinations, security, and reliability.</p></li><li><p>Manage model versioning, deployment, observability, and lifecycle operations.</p></li></ul><p>AI Governance & Responsible AI</p><ul><li><p>Implement AI governance, model risk management, and Responsible AI practices.</p></li><li><p>Maintain model documentation, validation, audit readiness, and compliance.</p></li><li><p>Ensure fairness, traceability, maintainability, privacy, and regulatory adherence.</p></li></ul><p>Agent Governance & Security</p><ul><li><p>Govern AI agent lifecycle, identity, access, and runtime controls.</p></li><li><p>Implement guardrails, audit logging, and secure integration with enterprise systems.</p></li><li><p>Protect AI solutions against prompt injection, data leakage, and adversarial attacks.</p></li></ul><p>Collaboration</p><ul><li><p>Work with business, engineering, security, and architecture teams to deliver AI solutions.</p></li><li><p>Mentor team members and promote AI engineering standards and best practice</p></li></ul></li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li><p>AI & Machine Learning</p><ul><li><p>Machine Learning, Deep Learning, NLP, Computer Vision</p></li><li><p>Predictive Analytics, Feature Engineering, Model Optimization</p></li></ul><p>Generative AI</p><ul><li><p>Large Language Models (LLMs)</p></li><li><p>Retrieval-Augmented Generation (RAG)</p></li><li><p>Prompt Engineering</p></li><li><p>Embeddings and Semantic Search</p></li><li><p>Fine-tuning Foundation Models</p></li></ul><p>Agentic AI</p><ul><li><p>Autonomous and Multi-Agent Systems</p></li><li><p>Agent Orchestration</p></li><li><p>Planning and Reasoning</p></li><li><p>Memory Management</p></li><li><p>Tool Calling</p></li><li><p>Human-in-the-Loop (HITL)</p></li><li><p>Model Context Protocol (MCP)</p></li></ul><p>Frameworks & Libraries</p><ul><li><p>PyTorch</p></li><li><p>TensorFlow</p></li><li><p>Scikit-learn</p></li><li><p>Hugging Face</p></li><li><p>LangChain</p></li><li><p>LangGraph</p></li><li><p>LlamaIndex</p></li><li><p>AutoGen</p></li><li><p>CrewAI</p></li><li><p>Semantic Kernel</p></li></ul><p>Cloud & Infrastructure</p><ul><li><p>Microsoft Azure AI Foundry</p></li><li><p>Azure Machine Learning</p></li><li><p>AWS Bedrock</p></li><li><p>Amazon SageMaker</p></li><li><p>Google Vertex AI</p></li><li><p>Docker</p></li><li><p>Kubernetes</p></li><li><p>Terraform</p></li></ul><p>Data & Integration</p><ul><li><p>SQL</p></li><li><p>PostgreSQL</p></li><li><p>MongoDB</p></li><li><p>Apache Spark</p></li><li><p>Vector Databases</p></li><li><p>REST APIs</p></li><li><p>FastAPI</p></li></ul><p>AI Operations</p><ul><li><p>MLflow</p></li><li><p>Kubeflow</p></li><li><p>Azure ML Pipelines</p></li><li><p>GitHub Actions</p></li><li><p>Azure DevOps</p></li></ul><p>AI Monitoring & Observability</p></li></ul>

<p><strong>Experience:</strong> 5–10 years</p><p><strong>Key Responsibilities:</strong></p><ul><li><p>Establish AI/ML governance frameworks.</p></li><li><p>Maintain AI/model inventories.</p></li><li><p>Support model validation and monitoring.</p></li><li><p>Assess model risks, bias and explainability.</p></li><li><p>Define AI controls and documentation.</p></li><li><p>Work with technology, risk, compliance and audit teams.</p></li></ul><br><p><strong>Desired Candidate Profile</strong></p><p>Mandatory Skills: AI/ML, Model Risk, Python, SQL, Governance Good to Have: Financial services, regulatory technology, responsible AI.</p>

Building on our past. Ready for the future<br><br>Worley is a global professional services company of energy, chemicals and resources experts. We partner with customers to deliver projects and create value over the life of their assets. We’re bridging two worlds, moving towards more sustainable energy sources, while helping to provide the energy, chemicals and resources needed now.<br><br>Role Purpose<br><br>Lead and deliver piping design and SP3D modeling outputs for assigned area(s)/package(s), ensuring safe, compliant, constructible and coordinated layouts in line with project specifications, client standards and applicable codes. Act as the focal point for piping design execution within the design team—planning, allocating and supervising designer workloads; driving model quality, drawing quality, and on-time delivery to project milestones. Support Piping Engineering (stress and materials) by ensuring designs incorporate stress and material requirements (support locations, flexibility provisions, line classes/material selections) and by coordinating interfaces with Civil/Structural, Mechanical, Process and E&I.<br><br>Key Accountabilities & Responsibilities<br><br>Leadership, Planning & Team Supervision Plan and manage day-to-day piping design workload for the assigned area(s), including resource allocation, priorities, and short-interval planning aligned to the project schedule. Supervise, mentor and guide designers/modelers; ensure consistent application of project drafting/modeling standards and quality expectations. Conduct checking/back-checking of key deliverables (3D model, GAs, isometrics, support location plans, MTOs) and ensure comments are closed out before issue. Coordinate with Piping Lead Engineer/Area Lead on technical priorities, design constraints, holds/assumptions, and interface risks impacting delivery.3D Modeling & Layout Execution (Primary) Lead development and maintenance of piping SP3D model for assigned scope: equipment modeling support (as required), pipe routing, tie-in modeling, and support modeling consistent with project practices. Drive layout quality: safe access/egress, maintainability, operability, constructability, lifting/handling clearances, and compliance with separation distances and safety requirements. Participate in internal and client model reviews (e.g., 30/60/90%); lead design closeout actions and ensure timely update of model and drawings. Coordinate clash detection and resolution with other disciplines and consolidate piping design actions to meet milestones. Drawing & Deliverable Production Develop and check piping deliverables including plot plans (where applicable), piping general arrangement drawings, key plans, piping plans, and demolition/installation drawings as required. Lead extraction, checking and issue of piping isometrics (IFR/IFC) aligned to fabrication/construction priorities; ensure completeness of line data, supports, welds, spools and annotations as per project requirements. Prepare and check piping MTOs (bulk, valves, special items) and construction MTOs as required; support weight/dia-inch reporting and other model-based reporting. Coordinate production of pipe support deliverables: support location plans, standard support references, and special support sketches/inputs to engineering. Interface with Stress, Materials & Engineering (Support) Coordinate with stress engineers to ensure routing provides required flexibility and to implement stress markups, support/restraint locations, and critical line requirements. Coordinate with materials engineers/engineers to ensure correct line classes and material selections are implemented in the model and reflected in isometrics and MTOs. Provide design inputs to Civil/Structural for pipe support loads/interfaces (as directed by piping engineering) and ensure model support points are consistent with agreed formats and procedures. Support vendor document reviews and package interfaces by integrating vendor GA/nozzle information into the model and updating layouts accordingly. Quality, Governance & HSEEnsure piping design outputs comply with project quality plan, discipline procedures, and drawing/model checking requirements. Promote safe design practices in layouts (hazard avoidance, safe access, maintainability) and participate in constructability/HAZID/HAZOP and design review workshops as required. Maintain good document control practices and ensure design changes are properly recorded and reflected in deliverables. Construction / Site Support (as assigned) Support construction and site teams by responding to design queries, assisting with tie-in walkdowns, and incorporating approved field changes into model/drawings. Support generation of workpacks / installation sketches / as-built updates where required by the contract and project procedures. Typical Deliverables (Examples)3D piping model (clash-free, coordinated) with supports and line classes applied. Plot plans / key plans / GA drawings / piping plans. IFR/IFC piping isometrics and isometric index. Pipe support location plans and special support sketches/inputs. MTOs (bulk, valves, specialty items) and construction MTOs. Model review closeout reports and design issue registers.<br>Core Competencies<br><br>Strong leadership and supervision of piping designers; ability to drive quality and schedule in a high-volume deliverables environment. Advanced piping layout and 3D modeling expertise (equipment areas, racks, modules, brownfield tie-ins). Strong understanding of constructability, access, maintenance and safety requirements in layout. Effective coordination and communication across disciplines and with vendors/clients. Attention to detail, strong checking mindset, and commitment to continuous improvement.<br><br>Preferred / Advantageous<br><br>ADNOC AGPS / ADNOC Offshore/Onshore layout and drafting practices exposure. Experience on GCC mega projects and multi-office execution / workshare environments. Familiarity with Worley Management System / Knowledge System expectations for checking, reviews and document control.<br><br>Minimum Qualifications & Experience<br><br>Diploma / Degree in Mechanical Engineering or equivalent discipline qualification with extensive piping design experience.20+ years total piping design experience in Oil & Gas / Energy / Process industries.15+ years detailed engineering / detailed design experience (SP3D model + IFC production).10+ years offshore design experience (must-have), including topsides / offshore facilities and brownfield modifications. Proven capability to lead a team of designers (planning, supervision, checking, mentoring and performance support). Strong working knowledge of SP3D design tools and drawing production workflows (project-approved toolset). ADNOC standards awareness is an advantage; familiarity with Worley systems and work processes is a plus; GCC experience is a plus.<br><br>Moving forward together<br><br>We’re committed to building a diverse, inclusive and respectful workplace where everyone feels they belong, can bring themselves, and are heard. We provide equal employment opportunities to all qualified applicants and employees without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by law.<br><br>We want our people to be energized and empowered to drive sustainable impact. So, our focus is on a values-inspired culture that unlocks brilliance through belonging, connection and innovation.<br><br>And we're not just talking about it; we're doing it. We're reskilling our people, leveraging transferable skills, and supporting the transition of our workforce to become experts in today's low carbon energy infrastructure and technology.<br><br>Whatever your ambition, there’s a path for you here. And there’s no barrier to your potential career success. Join us to broaden your horizons, explore diverse opportunities, and be part of delivering sustainable change.

Role: Quality Analyst (Remote) Location: Remote (Work from Anywhere) Job Type: Full-Time Payout: Competitive, based on experience<br>Role Overview:We are hiring for one of our clients, seeking an AI Quality Analyst - English to work on a full-time basis. You will evaluate a new personalization feature for an AI model by assessing how well it integrates information from past conversations, email, search, and activity to deliver relevant responses. This role requires a combination of creative prompt design and analytical evaluation of AI-generated content.<br>Key Responsibilities:• Evaluate the quality of personalized responses from an AI model using your own personal experiences as context.• Design creative, multi-turn prompts that test the model’s ability to integrate personal data sources accurately.• Assess model responses for grounding, integration, and helpfulness, identifying incorrect personalization or forced connections.• Review side-by-side comparisons of AI responses to detect subtle differences in relevance and accuracy.• Provide detailed feedback on model behavior to improve personalization performance.<br>Required Skills & Qualifications:• English proficiency with a high degree of competence in reading and writing.• Experience in prompt engineering or designing test cases for AI models.• Ability to analyze nuanced and ambiguous AI responses with analytical rigor.• Familiarity with personalization concepts and evaluation metrics in AI systems.• Attention to detail to identify subtle discrepancies in model outputs.• Willingness to use your primary personal Google account and enable personal data sources for assessment.• Full-time availability in your local time zone to support a global, 24-hour operations team.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the Technology, Information and Internet industry, contributing to the development of advanced AI systems that deliver measurable business impact.<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!

Role: Quality Analyst (Remote) Location: Remote (Work from Anywhere) Job Type: Full-Time Payout: Competitive, based on experience<br>Role Overview:We are hiring for one of our clients, seeking an AI Quality Analyst - English to work on a full-time basis. You will evaluate a new personalization feature for an AI model by assessing how well it integrates information from past conversations, email, search, and activity to deliver relevant responses. This role requires a combination of creative prompt design and analytical evaluation of AI-generated content.<br>Key Responsibilities:• Evaluate the quality of personalized responses from an AI model using your own personal experiences as context.• Design creative, multi-turn prompts that test the model’s ability to integrate personal data sources accurately.• Assess model responses for grounding, integration, and helpfulness, identifying incorrect personalization or forced connections.• Review side-by-side comparisons of AI responses to detect subtle differences in relevance and accuracy.• Provide detailed feedback on model behavior to improve personalization performance.<br>Required Skills & Qualifications:• English proficiency with a high degree of competence in reading and writing.• Experience in prompt engineering or designing test cases for AI models.• Ability to analyze nuanced and ambiguous AI responses with analytical rigor.• Familiarity with personalization concepts and evaluation metrics in AI systems.• Attention to detail to identify subtle discrepancies in model outputs.• Willingness to use your primary personal Google account and enable personal data sources for assessment.• Full-time availability in your local time zone to support a global, 24-hour operations team.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the Technology, Information and Internet industry, contributing to the development of advanced AI systems that deliver measurable business impact.<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!

Role: Quality Analyst (Remote) Location: Remote (Work from Anywhere) Job Type: Full-Time Payout: Competitive, based on experience<br>Role Overview:We are hiring for one of our clients, seeking an AI Quality Analyst - English to work on a full-time basis. You will evaluate a new personalization feature for an AI model by assessing how well it integrates information from past conversations, email, search, and activity to deliver relevant responses. This role requires a combination of creative prompt design and analytical evaluation of AI-generated content.<br>Key Responsibilities:• Evaluate the quality of personalized responses from an AI model using your own personal experiences as context.• Design creative, multi-turn prompts that test the model’s ability to integrate personal data sources accurately.• Assess model responses for grounding, integration, and helpfulness, identifying incorrect personalization or forced connections.• Review side-by-side comparisons of AI responses to detect subtle differences in relevance and accuracy.• Provide detailed feedback on model behavior to improve personalization performance.<br>Required Skills & Qualifications:• English proficiency with a high degree of competence in reading and writing.• Experience in prompt engineering or designing test cases for AI models.• Ability to analyze nuanced and ambiguous AI responses with analytical rigor.• Familiarity with personalization concepts and evaluation metrics in AI systems.• Attention to detail to identify subtle discrepancies in model outputs.• Willingness to use your primary personal Google account and enable personal data sources for assessment.• Full-time availability in your local time zone to support a global, 24-hour operations team.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the Technology, Information and Internet industry, contributing to the development of advanced AI systems that deliver measurable business impact.<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!