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Turing is seeking a hands-on engineer to design, refine, and iterate rubrics and evaluation criteria for preference data. You will review and label data with a high bar for quality and help build pipelines and infra to support data generation, collection, and evaluation workflows.
Collaboration with researchers and engineers will translate qualitative judgment into scalable processes. You should be proficient in Python or TypeScript, have experience with preference data, and communicate clearly
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.
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.