Careerflow Human Data Labs partners with AI companies to bring real-world professional expertise into their products.
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/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
• Work in a fully remote environment.
• Opportunity to work on cutting-edge AI projects with leading LLM companies.
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 : USA, Canada
Evaluation Process (approximately 30 mins) :
• One round of interview (30 mins of technical & cultural discussion)
5+ years of professional experience
Total number of positions: 320
Location : USA ( US Approved Regions ) , Canada
Engagement Length: 4 weeks, Full-time (8 hours/day) 20 hours per week. Overlap 4 hours with PST
6-week project , with a preferred commitment of up to 20 hours per week .
Fully remote , with payment in USD .
Start as soon as you successfully pass the assessment.