Remote Python/Typescript Engineer
About The Position
Turing is seeking a high-taste engineer with a strong eye for quality and hands-on experience with preference data and rubric creation. The role involves designing and refining evaluation criteria, reviewing data carefully, and building infrastructure that supports 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 focuses on cutting-edge AI projects with leading LLM companies. This is a three-month independent contractor engagement, 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 state their available hours 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 technical and cultural interview. The contractor engagement does not include medical or paid leave benefits.
Requirements
- Proficiency in Python, particularly 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.
- High-taste judgment and the ability to articulate why something is good, not only that it is.
Nice To Haves
- Experience contributing to or navigating large codebases such as VSCode.
- Availability of 40 hours per week is preferred, with a minimum six-hour overlap with Pacific Time.
Responsibilities
- Design, refine, and iterate on rubrics and evaluation criteria for preference data.
- Review and label data to a high quality standard, identifying 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 for the team.
- 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.
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Education Level
No Education Listed
