Role: Software Engineer (Trajectory Generation) Location: Global Remote Type: Hourly Independent Contractor Hours: 15-25/week (flexible up to 40) Join leading AI labs by applying software engineering expertise to improve model reasoning. Review real-world coding tasks and document problem-solving processes. About the Project Support development of advanced AI coding capabilities through structured dataset creation. Work with authentic software engineering scenarios from open-source repositories to capture realistic developer thought processes. Detailed Responsibilities Review AI-generated code trajectories on SWE-bench style tasks Reconstruct step-by-step reasoning explaining solution approaches Annotate decision points, debugging strategies, and technical choices Use full codebase context (issues, tests, PRs) for accurate documentation Ensure annotations reflect authentic software engineering practices Technical Requirements 2+ years hands-on software development experience Strong proficiency in Python, JavaScript/TypeScript, or similar languages Experience debugging complex codebases and resolving issues Familiarity with Git workflows, pull requests, and issue tracking Ability to articulate technical reasoning clearly in writing Project Structure Duration: 1-2 months with extension opportunities Start: Immediate onboarding Onboarding: Resume review + 15-minute AI technical interview Pace: Self-scheduled within weekly commitment minimum Payment: Weekly via Stripe/Wise Ideal Background Computer Science/Software Engineering degree (Bachelor's+) Experience with open-source contributions or repository analysis Understanding of software development lifecycles and testing Comfort working with technical documentation and specifications Success Profile Top performers receive rate increases and priority for future AI research projects. Join cohort of experienced engineers shaping next-generation coding AI.