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Turing is seeking a high-taste engineer to design and refine rubrics for preference data, translating complex criteria into clear evaluation standards. The role emphasizes concise, actionable write-ups and scalable processes for ambiguous, fast-moving work.
You will collaborate with researchers and engineers to ship reliable data pipelines and deliverable insights, with a strong emphasis on writing and communication to guide team decisions. This is a fully remote freelance engagement.
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.