Create Reinforcement Learning Environments that test AI models’ ability to solve real software engineering problems, including tracking down subtle bugs, building non-trivial features, refactoring, and optimizing performance. Work involves defining each problem, building a reproducible environment, and writing a reference solution. The project is remote, project-based, and paid per approved task, with an expected commitment of approximately 15 hours per week. Selected experts are expected to begin their first tasks within 24–48 hours after completing onboarding.
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Career Level
Mid Level
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