This role is for one of our clients
Compensation: $70-$130 per hour
Location RequirementsG USA CAN AUT BEL FRA DEU LIE LUX MCO NLD CHE BGR CZE HUN MDA POL ROU SVK
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 opportunity to apply your practical development experience to advance the next generation of intelligent systems.
RequirementsYou 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
- 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, Type Script, 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
- 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
- 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
- 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
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