Python Developer - LLM

Engagement Type: Independent Contractor Work Mode: Remote | Global Schedule: Part-Time (15–25 hrs/week, flexible up to 40 hrs) Duration: 1–3 Months | Immediate Start Role Overview 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. Key Responsibilities 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 Required Qualifications 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 Ideal Candidate Strong analytical thinker Comfortable explaining technical reasoning Detail-oriented and methodical Familiar with open-source contribution workflows Interested in AI and LLM research Application Process 1 Upload your resume 2 Complete a short 15-minute AI interview 3 Selected candidates receive onboarding details within a few days Contract & Payment Terms 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