Remote Python Engineer

• Proficiency in Python (especially building/maintaining pipelines and infra) or Typescript (experience contributing to or navigating large codebases like VSCode a plus) \n

• Hands-on experience with preference data collection and/or rubric creation \n

• Strong written and verbal communication - able to distill technical work into clear, actionable summaries \n

• Demonstrated high-taste judgment - able to articulate why something is good, not just that it is.

We’re looking for a high-taste engineer with a strong eye for quality - someone who’s worked hands-on with preference data and rubric creation, and knows what separates a good example from a great one. You communicate clearly and can synthesize complex technical work the way a strong MAI dev would: concise, structured, and easy for others to act on. You’re comfortable in ambiguous, fast-moving environments and default to shipping over deliberating.

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What does day-to-day look like:

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• Design, refine, and iterate on rubrics and evaluation criteria for preference data \n

• Review and label data with a high bar for quality, catching subtle issues others might miss \n

• Build and maintain pipelines/infra that support data generation, collection, and evaluation workflows \n

• Synthesize findings from data work into clear write-ups, updates, or recommendations for the team \n

• Collaborate closely with researchers/engineers to translate qualitative judgment into scalable processes \n

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Turing is one of the world’s leading AGI infrastructure companies, working with frontier AI labs to accelerate model development through high-quality training data, evaluations, and engineering talent.