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