Python Engineer – AI Training

hiring experienced Software Engineers to support high-impact research collaborations with leading AI labs. Freelancers will contribute to building training datasets that improve AI model reasoning and problem-solving on 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'll annotate frontier-model trajectories on SWE-bench-style tasks derived from real open-source repositories. Currently, closed-source models do not expose their internal reasoning traces, making it difficult to understand how LLMs approach problem-solving.

To address this gap, you'll reconstruct and annotate the reasoning portions of model trajectories—using your own problem-solving process and the full task context to infer and infill the underlying thought process at each step.

Key Responsibilities

* Review model-generated code trajectories on realistic software engineering tasks

* Reconstruct chain-of-thought reasoning that explains each step of the solution process

* Annotate decision points, debugging logic, and problem-solving strategies

* Use full task context (codebase, issue descriptions, test cases) to infer plausible reasoning

* Ensure annotations reflect realistic developer thought processes and technical accuracy

Ideal Qualifications

* 2+ years of experience in software engineering, with hands-on debugging and problem-solving in real codebases

* Degree in Software Engineering, Computer Science, or a related field (Bachelor's minimum; advanced degree preferred)

* Strong proficiency in Python, JavaScript, TypeScript, or other common languages found in open-source projects

* Familiarity with version control workflows (Git, PRs, issue tracking)

* Comfortable articulating technical reasoning in clear, structured writing

Contract and Payment Terms

* You will be engaged as an independent contractor.

* This is a fully remote role that can be completed on your own schedule.

* Projects can be extended, shortened, or concluded early depending on needs and performance.

* Payments are weekly on Stripe or Wise based on services rendered.

Project Timeline

* Start Date: Immediate

* Duration: 1-2 months

* Commitment: Part-time (15-25 hours/week, with flexibility up to 40 hours/week)

Application & Onboarding Process

* Upload your resume

* AI interview: A short, 15-minute conversational session to understand your background, experience, and interest in the role

* Follow-up communication within a few days with next steps and onboarding details