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+ yrs of 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
Engagement Details:
● Commitments Required: At least 4 hours per day and minimum 20 hours per week
with overlap of 4 hours with PST.
● Employment type : Contractor assignment (no medical/paid leave)
● Duration of contract : 3 month; [expected start date is next week]
● Location : North America
Evaluation Process (approximately 30 mins) :
● One round of interview (30 mins of technical & cultural discussion)
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