What you’ll actually do
- Evaluate AI-built analyses on real datasets: the method choice, the assumptions, and whether the conclusion actually follows from the numbers.
- Red-team the statistics to expose leakage, p-hacking, confounded comparisons, and confident nonsense before real users trust them.
- Write the better analysis when the model falls short: sound methodology, honest uncertainty, clear takeaways.
Roles this fits
Common backgrounds: Data Scientist, Data Analyst, Analytics Engineer.
What we look for
- Professional or academic experience doing real data analysis — industry, research, or serious independent work.
- Fluency with the standard toolkit; most tasks use Python, SQL, and notebooks.
- Clear written English: your explanations are the training signal.
- No degree required. We care about what you can do, not where you learned it.
Compensation
Up to $40 – $150+/hr depending on task difficulty and specialization. Many contributors add $10k–$100k+ a year; some make it their full-time income.
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