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) • Bryan, Texas, US
DataAnnotation is committed to creating high-quality AI.Join our team to help train the next generation of AI while enjoying the flexibility of remote work and the freedom to set your own schedule....Show more
DataAnnotation is committed to creating high-quality AI.Join our team to help train the next generation of AI while enjoying the flexibility of remote work and the freedom to set your own schedule....Show more
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DataAnnotation is committed to creating high-quality AI.Join our team to help train the next generation of AI while enjoying the flexibility of remote work and the freedom to set your own schedule....Show more
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DataAnnotation is committed to creating high-quality AI.Join our team to help train the next generation of AI while enjoying the flexibility of remote work and the freedom to set your own schedule....Show more
DataAnnotation is committed to creating high-quality AI.Join our team to help train the next generation of AI while enjoying the flexibility of remote work and the freedom to set your own schedule....Show more
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