Remote Python/Typescript Engineer
About The Position
Turing is seeking a high-taste engineer to support preference-data and evaluation work for AI projects. The role calls for hands-on experience with preference data and rubric creation, strong judgment about what makes a high-quality example, and clear communication that turns complex technical work into concise, actionable updates. The engineer should be comfortable working in ambiguous, fast-moving environments and favor shipping work over prolonged deliberation. The position involves designing and iterating on rubrics and evaluation criteria, reviewing and labeling data, building and maintaining infrastructure and pipelines for data workflows, synthesizing findings, and collaborating with researchers and engineers to scale qualitative judgment into processes. This is a fully remote independent-contractor engagement for three months, with an expected start as soon as possible. The preferred availability is 40 hours per week, with at least six hours of overlap with Pacific Time.
Requirements
- Proficiency in Python, especially for building and maintaining pipelines and infrastructure, or proficiency in Typescript.
- Hands-on experience with preference data collection and/or rubric creation.
- Strong written and verbal communication, with the ability to distill technical work into clear, actionable summaries.
- High-taste judgment and the ability to articulate why something is good, not just that it is.
Nice To Haves
- Experience contributing to or navigating large codebases such as VSCode.
Responsibilities
- Design, refine, and iterate on rubrics and evaluation criteria for preference data.
- Review and label data to a high quality bar, catching subtle issues.
- Build and maintain pipelines and infrastructure supporting data generation, collection, and evaluation workflows.
- Synthesize findings from data work into clear write-ups, updates, or recommendations.
- Collaborate with researchers and engineers to translate qualitative judgment into scalable processes.
Benefits
- Fully remote work environment.
- Opportunity to work on cutting-edge AI projects with leading LLM companies.
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Education Level
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