Python/Typescript Engineer
About The Position
Turing is an AGI infrastructure company working with frontier AI labs to accelerate model development through training data, evaluations, and engineering talent. The role seeks an engineer with strong quality judgment and hands-on experience with preference data and rubric creation. The engineer should communicate clearly, synthesize complex technical work into concise, structured updates, and be comfortable shipping in ambiguous, fast-moving environments. Day-to-day work includes designing and refining rubrics and evaluation criteria for preference data, reviewing and labeling data for quality, building and maintaining infrastructure and pipelines for data workflows, synthesizing findings into actionable communications, 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; applicants unable to commit to 40 hours should provide their availability and overlap window. Compensation is market rate, and applicants are asked to provide a specific rate expectation. The evaluation process is one approximately 30-minute interview covering technical and cultural topics.
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 skills, including the ability to distill technical work into clear, actionable summaries.
- Strong judgment and the ability to articulate why work or examples are 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 standard, 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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