Turing
US - Washington - Seattle
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Design and refine rubrics and evaluation criteria, review and label preference data, and build pipelines and infrastructure for data generation and evaluation workflows. Summarize findings and collaborate with researchers and engineers to turn qualitative judgment into scalable processes.
Requirements: Candidates need proficiency in Python or TypeScript, with experience in preference data collection and/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 Synthesis, Process Development, Collaboration
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