Competitive Data Scientist
About the Role
micro1 is recruiting data scientists, machine learning engineers, and applied mathematicians with a background in competitive data science (Kaggle, DrivenData, Zindi, AIcrowd, Numerai, and similar platforms) to help build and evaluate challenging tasks for AI coding agents. This is a flexible, part-time contractor engagement of roughly 15 hours per week, with the schedule set by the expert.
What You'll Do
- Build reproducible task environments, prepare data and dependencies, and implement verified reference solutions
- Design evaluation criteria and tests that reliably separate correct solutions from flawed ones
- Run coding agents against tasks, analyze their failures, and refine the tasks accordingly
- Spot implementation errors, flawed assumptions, and data leakage that affect correctness
- Document task requirements, reasoning, and verification steps clearly
Requirements
- Demonstrated experience in data science, ML, quantitative modeling, or competitive platforms such as Kaggle or DrivenData
- Strong problem-solving skills and a clear understanding of your own methods
- Practical programming ability, ideally in Python, including testing and debugging unfamiliar code
Compensation & Logistics
Pay is $60-$120/hour, fully remote, roughly 15 hours/week with a flexible schedule (weekends optional). Note: the screening questions indicate actual pay may be output-based (per completed task meeting spec, with a weekly minimum task quota) rather than strictly hourly — confirm exact terms before accepting.
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