Turing
US - Illinois - Chicago
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Create 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, hands-on experience with preference data collection or rubric creation, and strong written and verbal communication. They should demonstrate high-quality judgment, explain what makes an example effective, and work effectively in ambiguous, fast-moving environments.
Key Skills: Python, TypeScript, Pipeline Development, Infrastructure Maintenance, Preference Data Collection, Rubric Creation, Data Labeling, Evaluation Criteria, Data Quality Review, Written Communication, Verbal Communication, Technical Writing, Qualitative Judgment, Process Scaling, Research Collaboration
Benefits: Remote Work, Opportunity to Work on Cutting-Edge AI Projects
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