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We are seeking experienced Software Engineers to contribute to high-impact research collaborations with leading AI labs. In this role, you will help build high-quality training datasets that enhance AI models' reasoning and problem-solving capabilities on real-world software engineering tasks. This is a unique prospect to apply your practical development experience to advance the next generation of intelligent systems.
Requirements
You will work on annotating frontier-model trajectories across SWE-bench-style tasks derived from real-world open-source repositories. Since many closed-source models do not expose internal reasoning traces, this project focuses on reconstructing and annotating the reasoning process behind model-generated solutions.
Using your own problem-solving expertise and the full technical context of each task, you will infer and articulate the underlying chain-of-thought that explains how a solution is derived step by step.
Key Responsibilities
- Review model-generated code trajectories on realistic software engineering tasks
- Reconstruct detailed reasoning steps that explain the solution process
- Annotate key decision points, debugging logic, and problem-solving strategies
- Analyze full task context, including codebases, issue descriptions, and test cases
- Ensure annotations reflect accurate, realistic developer reasoning and technical soundness
- Deliver structured,
high-quality written explanations aligned with engineering best practices
Ideal Qualifications
- 2+ years of hands‑on software engineering experience working with real-world codebases
- Bachelor's degree in Computer Science, Software Engineering, or a related field (advanced degree preferred)
- Strong proficiency in Python, JavaScript, TypeScript, or similar commonly used open‑source languages
- Familiarity with Git workflows, pull requests, and issue tracking systems
- Strong debugging and analytical skills
- Ability to clearly articulate technical reasoning in structured written form
Project Details
- Start Date: Immediate
- Duration: 1‑2 months
- Commitment: Part‑time (15‑25 hours per week, with flexibility up to 40 hours per week)
- Fully remote with flexible scheduling
Application & Onboarding Process
- Submit your resume
- Participate in a short (approximately 15‑minute) AI‑based conversational interview to discuss your background and interest
- Receive follow‑up communication within a few days regarding next steps and onboarding
Contract & Payment Terms
- Engagement will be structured as an independent contractor agreement
- Work can be completed remotely on your own schedule
- Projects may be extended, shortened, or concluded early based on performance and business needs
- Work assignments will not involve access to confidential or proprietary information from any employer, client, or institution
- Payments are processed weekly via Stripe or Wise based on services rendered
- Visa sponsorship is not available; H1‑B and STEM OPT candidates cannot be supported at this time