We are hiring for one of our clients, a foundational LLM company, seeking a Senior Python Developer for a fully remote role open to candidates in the UAE, enhancing large language models by providing high-quality proprietary data for fine-tuning and benchmarking model performance.
About the Opportunity — LLM Fine-Tuning & Benchmarking
Role Title: Senior Python Developer — LLM Fine-Tuning
Work Format: Fully remote, work from anywhere
Core Focus: Supervised fine-tuning (SFT) and reinforcement learning with human feedback (RLHF)
Key Activities: Model evaluation, benchmarking, and response ranking across diverse domains
Compensation: Competitive pay based on experience
Career Impact & Remote AI Engineering Opportunity
Global Reach: Fully remote position open to qualified candidates across the UAE and beyond
High-Impact Work: Contribute to the advancement of large language models at a global AI leader
Elite Collaboration: Work alongside top researchers and engineers in the field
Career Growth: Build specialized expertise in LLM fine-tuning and AI model optimization
Position 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, working full-time in a fully remote capacity.
Why This Role Matters: As Python Engineer, you design, develop, and maintain efficient Python code to train and optimize cutting-edge AI models, lead supervised fine-tuning efforts, creating and maintaining high-quality, task-specific datasets, conduct evaluations to benchmark model performance and drive continuous improvement, evaluate and rank AI model responses across diverse domains against predefined criteria, collaborate with researchers and annotators on reinforcement learning with human feedback, and work fully remote with top researchers and engineers advancing the state of large language models.
Key Responsibilities
Model Training & Optimization
- 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
Response Evaluation & Ranking
- Evaluate and rank AI model responses to user queries across diverse domains, ensuring alignment with predefined criteria
Fine-Tuning & Dataset Development
- 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
🎓 Qualifications & Requirements
Essential Skills
- 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
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. All qualified candidates are welcome regardless of background, experience, or prior employment history, with applications reviewed solely on demonstrated technical ability and qualifications.
Career Excellence: Build specialized LLM fine-tuning and AI optimization expertise in a fully remote role working alongside leading AI researchers and engineers.
Who Should Apply?
- Senior Python Developers: With hands-on AI/ML framework experience
- LLM Fine-Tuning Specialists: Experienced with SFT and RLHF methodologies
- AI Model Evaluators: Skilled in benchmarking and response ranking processes
- Machine Learning Engineers: Comfortable building datasets for task-specific model training
- Remote-First AI Professionals: Seeking flexible, work-from-anywhere technical roles
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