Remote Python/TS Engineer for Preference Data & Rubrics

turing

United States

Remote

USD 83,000 - 165,000

Part time

2 days ago
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Benefits offered by this job

Fully remote environment
Cutting-edge AI projects

Job summary

Turing is seeking a hands-on engineer to design, refine, and iterate rubrics and evaluation criteria for preference data. You will review and label data with a high bar for quality and help build pipelines and infra to support data generation, collection, and evaluation workflows.

Collaboration with researchers and engineers will translate qualitative judgment into scalable processes. You should be proficient in Python or TypeScript, have experience with preference data, and communicate clearly

Qualifications

  • Proficiency in Python (or TypeScript) and building/maintaining pipelines and infra.
  • Hands-on experience with preference data collection and rubric creation.
  • Strong written and verbal communication; ability to distill complex work into summaries.
  • Demonstrated high-taste judgment and ability to articulate why something is good.

Responsibilities

  • Design, refine, and iterate on rubrics and evaluation criteria for preference data.
  • Review and label data with a high bar for quality and build pipelines/infra to support data workflows.
  • Synthesize findings from data work into clear writes, updates, or recommendations.
  • Collaborate with researchers and engineers to translate qualitative judgment into scalable processes.

Skills

Python/TypeScript
Preference data
Communication
Judgment

Tools

VSCode

Job description

Turing is seeking a hands-on engineer to design, refine, and iterate rubrics and evaluation criteria for preference data. You will review and label data with a high bar for quality and help build pipelines and infra to support data generation, collection, and evaluation workflows.

Collaboration with researchers and engineers will translate qualitative judgment into scalable processes. You should be proficient in Python or TypeScript, have experience with preference data, and communicate clearly

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