Software Engineer, RL Data

📋 Description Turning a capability gap into thousands of verifiable tasks — for example, planting subtle bugs Building environments that behave like production: real codebases with their real dependencies, and Designing graders for open-ended work that separate good solutions from bad without penalizing Building automated checks that catch reward hacking, leaked answers, broken environments, and paths Scaling from a thousand hand-checked tasks to millions, with filters and judges you can trust in 🎯 Requirements Strong software engineering fundamentals and built non-trivial systems in Python: data pipelines Taste for what makes an environment trustworthy: faithful enough that skills transfer, strict Careful and systematic — understanding both aggregate metrics and close reading of raw outputs. Enjoy turning messy, open-ended problems into repeatable, high-quality data production systems. RL or ML experience is a plus but not required; welcome strong engineers who want to do research on