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+ 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 valuable, not just that it is

📌 Sr Python Developer (India)
🏢 Giantmind Solutions
📍 India