Engagement Type: Independent ContractorWork Mode: Remote | GlobalSchedule: Part-Time ****** hrs/week, versátil up to 40 hrs)Duration: 1-3 Months | Immediate StartRole OverviewWe are hiring experienced Software Engineers (Python-focused) to support high-impact research collaborations with leading AI labs.In this project-based engagement, you will contribute to building training datasets that improve AI model reasoning and problem-solving across 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 ProjectYou will work on SWE-bench-style tasks derived from real open-source repositories.Since frontier AI models do not expose their internal reasoning traces, your role will involve:Reconstructing model reasoningAnnotating solution trajectoriesInferring thought processes behind debugging and implementation stepsYou will use your own developer problem-solving approach to reconstruct and annotate realistic reasoning flows.Key ResponsibilitiesReview model-generated code trajectories on realistic software engineering tasksReconstruct step-by-step chain-of-thought reasoningAnnotate debugging logic, decision points, and problem-solving strategiesUse full context (codebase, issues, test cases) to infer plausible reasoningEnsure technical accuracy and alignment with real-world developer workflowsRequired Qualifications2+ years of hands-on software engineering experienceStrong debugging experience in real codebasesProficiency in Python (primary)Familiarity with JavaScript / TypeScript or other open-source languages (preferred)Experience with Git workflows (PRs, issue tracking)Ability to articulate technical reasoning clearly in writingBachelor's degree in CS, Software Engineering, or related fieldIdeal CandidateStrong analytical thinkerComfortable explaining technical reasoningDetail-oriented and methodicalFamiliar with open-source contribution workflowsInterested in AI