Remote Software Engineer; Trajectory - AI Trainer

• Mercor is 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.

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.

• 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

• 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, Type Script, 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

• Start Date :
  Immediate
• Duration : 1–2 months
• Commitment :
  Part‑time (15–25 hours / week, with flexibility up to 40 hours / week)

Apply today and leverage your software engineering expertise to help build the future of AI‑driven systems!