Job Description & How to Apply Below
About the Role:
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.
What does day-to-day look like:
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
Required Skills:
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.
Perks of Freelancing With Turing:
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 (approximately 30 mins):
One round of interview (30 mins of technical & cultural discussion)
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