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:
- 5+ years of proficiency in Python (especially building/maintaining pipelines and infra) or Typescript/Golang/JavaScript (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
Offer Details:
- Remote
- Commitments Required: At least 4 hours per day and minimum 20 hours per week with overlap of 4 hours with PST.
- Location: United States
- Engagement Type: Short Term Contract (3 month)
Important note: Due to the high volume of applications, we are unable to provide individual feedback at this stage. Only candidates shortlisted for the next steps will be contacted by our team.