A global leader in the Technology, Information and Internet industry is seeking an experienced Data Scientist — Python on a full-time remote basis from the UAE, with competitive salary based on experience and complete work-from-anywhere flexibility. This technically advanced role develops and maintains high-quality Python code to train and optimise AI models, conducts evaluations to benchmark model performance, evaluates and ranks AI model responses across diverse domains, leads supervised fine-tuning efforts with task-specific dataset creation, and collaborates with researchers and annotators to execute Reinforcement Learning with Human Feedback (RLHF) and refine reward models — contributing to cutting-edge AI systems development for one of the world’s most prominent technology organisations.
About This Data Scientist — Python Opportunity
Client Industry: Global leader in Technology, Information and Internet — advancing cutting-edge AI systems and solving mission-critical priorities through real-world AI applications
Compensation: Competitive salary based on experience — a fully remote, full-time position with genuine commercial recognition of senior Python AI and data science expertise
RLHF Focus: Collaborate with researchers and annotators on reinforcement learning with human feedback — one of the most technically consequential areas in modern AI development
Equal Opportunity: Applications reviewed solely on demonstrated technical ability — all qualified Python data scientists welcome regardless of background
Why This Data Scientist Python Role Stands Out
Frontier AI Work — RLHF & Fine-Tuning: Contribute to reinforcement learning with human feedback and supervised fine-tuning — two of the most technically significant and commercially valuable disciplines in contemporary AI model development
Global Technology Leader: Work for one of the world’s most prominent technology and internet companies — solving mission-critical AI priorities at enterprise scale with real-world application impact
Full Analytical Lifecycle: AI model training, performance benchmarking, response evaluation and ranking, dataset creation, reward model refinement, and continuous improvement — comprehensive data science ownership
Remote-First Flexibility: Full-time, fully remote — work from UAE or anywhere globally with competitive salary and no geographic restriction on how you deliver your best data science work
Position Overview
This Data Scientist — Python remote role in the UAE designs, develops, and maintains efficient, high-quality Python code to train and optimise AI models, conducts evaluations to benchmark model performance and analyse results for continuous improvement, evaluates and ranks AI model responses to user queries across diverse domains while ensuring alignment with predefined criteria, develops comprehensive explanations and rationales for evaluations showcasing strong reasoning and technical expertise, leads supervised fine-tuning efforts including creating and maintaining high-quality task-specific datasets, and collaborates with researchers and annotators to execute RLHF and refine reward models — contributing to the development of some of the most advanced AI systems in the global technology industry.
Why This Role Matters: As Data Scientist — Python contributing to reinforcement learning with human feedback and supervised fine-tuning from the UAE, you are working at the most consequential layer of modern AI development — the layer that determines not just whether a model performs on a benchmark, but whether it reasons correctly, responds helpfully, and aligns with the values and criteria that make AI systems genuinely useful and trustworthy in the real world. When your evaluation correctly identifies why a model’s response to a complex reasoning query is subtly wrong, your task-specific dataset improves the fine-tuned model’s domain performance measurably, or your reward model refinement helps the RLHF process steer model behaviour more reliably toward helpful and accurate outputs — you are shaping the AI systems that millions of users and businesses depend on every day.
Key Responsibilities
AI Model Development, Training & Python Code Quality
- Design, develop, and maintain efficient, high-quality Python code to train and optimise AI models — applying software engineering best practices including clean code, modular design, version control, and thorough documentation to all data science deliverables
- Conduct systematic evaluations to benchmark AI model performance — analysing results across diverse query domains and performance dimensions to identify areas for continuous model improvement
- Apply data science and machine learning techniques to real AI model development challenges — combining statistical rigour with production-grade Python implementation
- Perform thorough bug fixing and create detailed technical documentation — ensuring code reliability, reproducibility, and clear communication of methodology across research and engineering teams
Model Response Evaluation, Ranking & RLHF
- Evaluate and rank AI model responses to user queries across diverse domains — applying predefined alignment criteria to assess response accuracy, helpfulness, safety, and quality with structured, well-reasoned evaluations
- Develop comprehensive explanations and rationales for model response evaluations — demonstrating excellent analytical reasoning, domain knowledge, and technical expertise in clear, communicable Jupyter notebook format
- Collaborate with researchers and annotators to execute Reinforcement Learning with Human Feedback (RLHF) — contributing structured human signal to the feedback loop that shapes how frontier AI models learn from human preferences and values
- Refine reward models based on evaluation outcomes and annotator collaboration — continuously improving the quality and reliability of the human feedback signal used to guide AI model training
Supervised Fine-Tuning, Dataset Creation & Continuous Improvement
- Lead supervised fine-tuning efforts — including creating and maintaining high-quality, task-specific datasets that accurately capture the desired model behaviours and domain knowledge required for fine-tuned model performance
- Apply business sense and analytical ability to extract meaningful insights from public databases — enriching training data and evaluation frameworks with relevant, publicly available information sources
- Articulate reasoning and logic clearly in Jupyter notebooks and equivalent formats — producing evaluation outputs and analytical documentation that are transparent, reproducible, and accessible to collaborating researchers and annotators
- Contribute to continuous improvement of AI model performance — identifying patterns in evaluation outcomes that suggest systematic model weaknesses or training data gaps requiring targeted intervention
Required Skills & Qualifications
Essential Requirement
- Proficiency in Python for data analysis and AI model development — including clean, maintainable, production-quality code applied to machine learning and data science workflows
- Experience with data science and machine learning techniques — applied to real model training, evaluation, or optimisation problems in research or production contexts
- Ability to use business sense and analytical abilities to extract insights from public databases — identifying relevant data and applying it meaningfully to AI development challenges
- Strong skills in bug fixing and creating thorough technical documentation — ensuring code quality and analytical transparency throughout the development lifecycle
- Excellent communication skills — ability to clearly articulate reasoning, logic, and analytical judgements in Jupyter notebooks or similar formats for diverse technical and research audiences
- Ability to work independently in a fully remote environment — self-directed, organised, and consistently delivering high-quality data science outputs
Advantageous Experience
- Prior experience with RLHF, reward model training, or supervised fine-tuning in an AI research or production context
- Experience evaluating and ranking LLM or AI model outputs — applying structured evaluation criteria across diverse domains including reasoning, factuality, safety, and helpfulness
- Background in NLP, large language model development, or AI alignment — directly relevant to the RLHF and fine-tuning focus of this role
- Familiarity with annotation workflows, dataset quality assessment, and inter-annotator agreement analysis
About This Opportunity — Advancing Frontier AI from the UAE
Join a global leader in the Technology, Information and Internet industry as Data Scientist — Python on a fully remote, full-time basis — accessible from the UAE or anywhere in the world. With a competitive salary based on experience, this role places you at the frontier of AI model development — training, fine-tuning, evaluating, and improving the intelligent systems that power some of the world’s most widely used technology products. Working within a collaborative team of researchers and annotators on RLHF, supervised fine-tuning, and reward model refinement, your Python expertise and data science rigour directly shape how AI models learn, reason, and respond — making a genuine and measurable contribution to AI capability that millions of users depend on every day.
Career Excellence: Train, fine-tune, and evaluate frontier AI models through RLHF and supervised fine-tuning — Python, Jupyter, competitive salary, fully remote from UAE.
Who Should Apply?
- Python Data Scientists — AI Model Training: With strong Python proficiency and machine learning experience — developing, training, evaluating, and optimising AI models in production or research contexts
- RLHF & Fine-Tuning Specialists: With hands-on experience in reinforcement learning with human feedback, supervised fine-tuning, reward model development, or AI alignment — contributing to the human feedback layer of frontier model training
- AI Model Evaluation Experts: With experience evaluating and ranking AI or LLM model responses — applying structured criteria to assess accuracy, helpfulness, reasoning quality, and alignment across diverse domains
- ML Dataset Creators & Technical Documenters: With experience creating high-quality, task-specific training datasets, maintaining data quality standards, and communicating analytical methodology clearly in Jupyter or equivalent formats
- Remote UAE-Based Data Scientists: Seeking a competitive, full-time remote data science role — applying Python ML expertise and AI evaluation capability to frontier model development for a globally recognised technology and internet company
Recently Opening Job👇
