Remote Typescript Engineer
About The Position
Turing is hiring a high-taste engineer to support AI training and evaluation work. The role focuses on preference data and rubric creation, including designing and refining evaluation criteria, reviewing and labeling data to a high quality bar, and building and maintaining pipelines and infrastructure for data generation, collection, and evaluation workflows. The engineer will synthesize findings into clear, actionable communications and collaborate with researchers and engineers to turn qualitative judgment into scalable processes. The work is fully remote and is an independent-contractor engagement lasting 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; candidates 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 consists of one approximately 30-minute interview covering technical and cultural topics.
Requirements
- Proficiency in Python, especially building and maintaining pipelines and infrastructure, or 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.
- High-taste judgment and the ability to articulate why something is good.
- Preferred availability of 40 hours per week and a minimum six-hour overlap with Pacific Time; applicants with different availability should share their hours and overlap window.
- Provide a specific compensation rate expectation rather than a range.
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 for 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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What This Job Offers
Education Level
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