Python Engineer

Turing•New York, NY
•Remote

About The Position

Turing is seeking a high-taste engineer with a strong eye for quality for a role focused on preference data and rubric creation. The ideal candidate will have hands-on experience with these areas and understand the nuances that distinguish good examples from great ones. Excellent communication skills are essential, enabling the synthesis of complex technical work into concise, structured, and actionable insights. The role requires comfort in ambiguous, fast-moving environments, with a bias towards shipping solutions efficiently. Day-to-day activities include designing and refining rubrics and evaluation criteria, reviewing and labeling data with a high standard of quality, building and maintaining data pipelines and infrastructure, and collaborating with researchers and engineers to translate qualitative judgments into scalable processes.

Requirements

  • Proficiency in Python (especially building/maintaining pipelines and infra)
  • Hands-on experience with preference data collection and/or rubric creation
  • Strong written and verbal communication — able to distill technical work into clear, actionable summaries
  • Demonstrated high-taste judgment — able to articulate why something is good, not just that it is.

Nice To Haves

  • Typescript experience (experience contributing to or navigating large codebases like VSCode a plus)

Responsibilities

  • Design, refine, and iterate on rubrics and evaluation criteria for preference data
  • Review and label data with a high bar for quality, catching subtle issues others might miss
  • Build and maintain pipelines/infra that support data generation, collection, and evaluation workflows
  • Synthesize findings from data work into clear write-ups, updates, or recommendations for the team
  • Collaborate closely with researchers/engineers to translate qualitative judgment into scalable processes

Benefits

  • Work in a fully remote environment.
  • Opportunity to work on cutting-edge AI projects with leading LLM companies.
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