Python Developer - LLM

We are hiring experienced Software Engineers (Python-focused) to support high-impact research collaborations with leading AI labs.

In this project-based engagement, you will contribute to building training datasets that improve AI model reasoning and problem-solving across real-world coding tasks.

This is a unique opportunity to apply your software engineering expertise toward shaping the next generation of intelligent systems.

About the Project

You will work on SWE-bench-style tasks derived from real open-source repositories.

Since frontier AI models do not expose their internal reasoning traces, your role will involve:

• Reconstructing model reasoning
• Annotating solution trajectories
• Inferring thought processes behind debugging and implementation steps

You will use your own developer problem-solving approach to reconstruct and annotate realistic reasoning flows., * Review model-generated code trajectories on realistic software engineering tasks

• Reconstruct step-by-step chain-of-thought reasoning
• Annotate debugging logic, decision points, and problem-solving strategies
• Use full context (codebase, issues, test cases) to infer plausible reasoning
• Ensure technical accuracy and alignment with real-world developer workflows, * Independent Contractor Engagement
• Fully Remote
• Flexible schedule
• Weekly payments via Stripe or Wise
• Projects may be extended or concluded based on needs and performance
• No access to confidential employer data required

Do you have experience in TypeScript?, Do you have a Master's degree?, * 2+ years of hands-on software engineering experience

• Strong debugging experience in real codebases
• Proficiency in Python (primary)
• Familiarity with JavaScript / TypeScript or other open-source languages (preferred)
• Experience with Git workflows (PRs, issue tracking)
• Ability to articulate technical reasoning clearly in writing
• Bachelor's degree in CS, Software Engineering, or related field, * Strong analytical thinker
• Comfortable explaining technical reasoning
• Detail-oriented and methodical
• Familiar with open-source contribution workflows
• Interested in AI and LLM research