Turing
US - Washington - Seattle
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Design and refine rubrics and evaluation criteria, review and label preference data, and build infrastructure and pipelines for data generation, collection, and evaluation. Summarize findings and collaborate with researchers and engineers to turn qualitative judgments into scalable processes.
Requirements: Candidates need proficiency in Python or TypeScript, with experience building or maintaining pipelines and infrastructure, and hands-on experience with preference data collection or rubric creation. They should communicate clearly, exercise strong quality judgment, and explain why examples meet a high standard.
Key Skills: Python, TypeScript, Pipeline Development, Infrastructure, Preference Data Collection, Rubric Creation, Data Labeling, Evaluation Criteria, Data Quality Review, Written Communication, Verbal Communication, Technical Synthesis, Process Scaling, Collaboration
Benefits: Remote Work, Opportunity To Work On Cutting-Edge AI Projects
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