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Contract SWE

TuringUnited States🇺🇸United States

Quick overview

Salary$100 - $150/hr
SeniorityMid Senior
Employment typeContract
Work modeRemote
LocationUnited States
Start dateASAP
PythonTypeScriptData PipelinesPreference DataRubric CreationLLM Evaluation

Job description

About the Company

A leading AGI infrastructure company working with frontier AI labs to accelerate model development through high-quality training data, evaluations, and engineering talent.

About the Role

We're looking for a high-taste engineer with a strong eye for quality. The ideal candidate will have hands-on experience with preference data and rubric creation, understanding what separates a good example from a great one.

You'll communicate clearly and be able to synthesise complex technical work in a concise, structured, and actionable way. You'll be comfortable working in ambiguous, fast-moving environments and have a bias towards shipping over deliberating.

What Does Day-to-Day Look Like?

  • Design, refine, and iterate on rubrics and evaluation criteria for preference data.
  • Review and label data to a high standard, identifying subtle issues others might miss.
  • Build and maintain pipelines and infrastructure supporting data generation, collection, and evaluation workflows.
  • Synthesise findings from data work into clear write-ups, updates, and recommendations.
  • Collaborate closely with researchers and engineers to translate qualitative judgement into scalable processes.

Required Skills

  • 5+ years of proficiency in Python, particularly building and maintaining pipelines and infrastructure, or TypeScript.
  • Hands-on experience with preference data collection and/or rubric creation.
  • Strong written and verbal communication skills, with the ability to distil technical work into clear, actionable summaries.
  • Demonstrated high-quality judgement, with the ability to articulate why something is good, not just that it is.

Perks of the Contract

  • Fully remote working environment.
  • Opportunity to work on cutting-edge AI projects with leading LLM companies.

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