[Hiring] Python Engineer @Turing

Role Description

We're looking for a high-taste engineer with a strong eye for quality — someone who's worked hands-on with preference data and rubric creation, and knows what separates a good example from a great one. You communicate clearly and can synthesize complex technical work the way a strong MAI dev would: concise, structured, and easy for others to act on. You're comfortable in ambiguous, fast-moving environments and default to shipping over deliberating.

• Design, refine, and iterate on rubrics and evaluation criteria for preference data
• Review and label data with a high bar for quality, catching subtle issues others might miss
• Build and maintain pipelines/infra that support data generation, collection, and evaluation workflows
• Synthesize findings from data work into clear write-ups, updates, or recommendations for the team
• Collaborate closely with researchers/engineers to translate qualitative judgment into scalable processes

Qualifications

• Proficiency in Python (especially building/maintaining pipelines and infra) or Typescript (experience contributing to or navigating large codebases like VSCode a plus)
• Hands-on experience with preference data collection and/or rubric creation
• Strong written and verbal communication — able to distill technical work into clear, actionable summaries
• Demonstrated high-taste judgment — able to articulate why something is good, not just that it is.

Benefits

• Work in a fully remote environment.
• Opportunity to work on cutting-edge AI projects with leading LLM companies.

Engagement Details

• Compensation: Market rate. Please share a specific rate expectation (rather than a range) so we can quickly assess mutual fit
• Availability: 40 hours/week preferred, with a minimum 6-hour overlap with Pacific Time. If you're unable to commit to 40 hours, please share your available hours and overlap window
• Employment Type: Independent contractor (does not include medical or paid leave benefits)
• Duration: 3 months, with an expected start date as soon as possible
• Evaluation Process: One round of interview (30 mins of technical & cultural discussion)