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Software Engineer (Trajectory)

San Francisco, California, United StatesRemoteFull TimePosted 2 months agoVisa sponsorship available

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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.
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

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

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

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