Python/Typescript Engineer
About The Position
Turing is an AGI infrastructure company that works with frontier AI labs to accelerate model development through training data, evaluations, and engineering talent. The Python/Typescript Engineer will help create high-quality preference data and evaluation workflows. The role calls for strong quality judgment, hands-on experience with preference data and rubric creation, clear communication, and the ability to work effectively in ambiguous, fast-moving environments. Day-to-day work includes designing and refining rubrics and evaluation criteria, reviewing and labeling data, building and maintaining pipelines and infrastructure for data generation, collection, and evaluation, synthesizing findings into clear team updates and recommendations, and collaborating with researchers and engineers to make qualitative judgment scalable. This is a fully remote, independent-contractor engagement for three months, with an expected start as soon as possible. The preferred commitment is 40 hours per week, with at least six hours of overlap with Pacific Time. Compensation is market rate; applicants are asked to provide a specific rate expectation. The evaluation process is one approximately 30-minute technical and cultural discussion.
Requirements
- Proficiency in Python, especially 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, including the ability to distill technical work into clear, actionable summaries.
- Demonstrated high-taste judgment and the ability to articulate why something is good.
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, identifying 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, and 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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