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 workflows. Summarize findings and collaborate with researchers and engineers to turn qualitative judgments into scalable processes.
Requirements: Candidates need proficiency in Python or TypeScript, with hands-on experience in preference data collection or rubric creation. They should communicate technical work clearly and demonstrate strong judgment in assessing and explaining quality.
Key Skills: Python, TypeScript, Pipeline Development, Infrastructure, Preference Data Collection, Rubric Creation, Data Labeling, Evaluation Criteria, Data Quality Review, Written Communication, Verbal Communication, Technical Writing, Qualitative Judgment, Process Scaling, Collaboration
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