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Job Description: Job description
Project Timeline
Start Date: Immediate
Duration: 5 6 weeks
Commitment: Part-time, ~20 hours/week (flexible)
Schedule: Fully remote and asynchronous
Key Responsibilities
Evaluate AI-generated data analyses for quality, correctness, and clarity.
Understand dataset context and apply statistical analysis and modeling for both specific and open-ended prompts.
Design prompts and create clear, detailed rubrics for reward modeling and evaluation.
Produce gold-standard responses: data visualizations, explanatory text, and executable Python notebooks (.ipynb).
Translate data-science reasoning and decisions into gradable criteria for AI agents.
Ideal Qualifications
Education: Bachelor's, Master's, or PhD in Data Science, Machine Learning, or a related field.
Experience: 2+ years in industry data-science roles.
Technical Skills: Proficient in Python and common data libraries (pandas, numpy, scikit-learn).
Data Expertise: Strong understanding of statistical analysis, modeling, and visualization; ability to identify patterns and communicate insights.
Communication: Excellent analytical and data-driven writing skills; able to distill complex findings into clear, concise recommendations.
Application Onboarding Process
Submit Resume

AI Interview& A short, 25-minute technical interview which will assess conceptual project-based questions and a Google Co-Lab data analysis exercise

Work trial

6 lessons on rubric-writing fundamentals

Short comprehension quizzes (non-evaluative)

A final quiz and 1–2 hour prompt-writing exercise

Total time: ~3 hours