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 1. Upload your resume 2. AI interview : A short, 15-minute conversational session to understand your background, experience, and interest in the role 3. 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!
Remote Software Engineer (Trajectory) - AI Trainer ($70-$130 per hour) • Manchester, New Hampshire, US
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