Remote Python/Typescript Engineer

Turing•Chicago, IL

1d•Remote

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 is for a quality-focused engineer with hands-on experience in preference data and rubric creation. The successful candidate communicates clearly, synthesizes technical work into concise and actionable updates, and works effectively in ambiguous, fast-moving environments with a bias toward shipping. The engineer will design and refine rubrics and evaluation criteria for preference data, review and label data to a high quality bar, and build and maintain pipelines and infrastructure for data generation, collection, and evaluation. They will synthesize findings into clear write-ups, updates, or recommendations and collaborate with researchers and engineers to turn qualitative judgment into scalable 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. Compensation is market rate; candidates 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, 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 skills, 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

Typescript experience contributing to or navigating large codebases such as VSCode.
Availability of 40 hours per week is preferred; at least six hours of overlap with Pacific Time is requested.

Responsibilities

Design, refine, and iterate on rubrics and evaluation criteria for preference data.
Review and label data, catching subtle quality 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.