Remote Python/Typescript Engineer

Turing • Seattle, WA

2d • Remote

About The Position

Turing is seeking a high-taste engineer with strong quality judgment and hands-on experience with preference data and rubric creation. The role involves designing and refining evaluation criteria, reviewing data carefully, and building or maintaining 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 role is fully remote and focused on cutting-edge AI projects with leading LLM companies. The engagement is as an independent contractor for three months, with an expected start as soon as possible. Availability of 40 hours per week is preferred, with a minimum six-hour 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 state a specific rate expectation. The evaluation process consists of one approximately 30-minute interview covering technical and cultural topics.

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.
• Demonstrated high-taste judgment and the ability to explain why something is good, not just identify that it is.

Nice To Haves

• Experience contributing to or navigating large codebases such as VSCode.
• Availability of 40 hours per week is preferred.

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.
• Collaborate with researchers and engineers to translate qualitative judgment into scalable processes.

What This Job Offers

• Education Level: No Education Listed