A waitlist for expert contributors who write data science tasks and review analysis for statistical errors and flawed methods. It suits practising data scientists who can explain methodological choices clearly in written English.
About the role
Join Sovrano AI's data science expert network. This is a waitlist for future AI training projects, paid up to $150 an hour, and your application is not tied to a specific project. Apply once, complete a short AI interview about your field, and we contact you directly when a project matches your background.
AI labs need analysis checked by people who have put models and experiments into production. A model can explain how an A/B test should be set up and still miss the leaked feature that makes a result look too good. Catching that takes a data scientist who has been burned by it.
This listing is a waitlist, not an open position. No project is attached to your application. Applying puts you in the network we draw from when a data science project opens. We ask for one thing: a short AI interview about your field, about 20 minutes, that you take once you have applied. We review applicants from time to time, check whether each profile fits the kind of projects we run, and reach out directly with the scope, hours and rate when there is a match. Timing depends on demand, so you may hear from us soon or only after a while, and we will not contact everyone on the list. You commit to nothing by applying.
Work varies by project. Depending on the project you might write analysis and modeling tasks with worked solutions, review other data scientists' work against a checklist, or grade AI output on statistics, experiment design and code. Hours, scope and rate are set per project and sent to you in writing before you start.
On a project you write realistic data science tasks and the answer an experienced practitioner would give, review other experts' work against an acceptance checklist, and evaluate AI answers for statistical errors, flawed methodology and code that runs but answers the wrong question. Reviewers check everything, and you are paid for approved work.
Write realistic analysis, modeling and experiment design tasks with worked solutions
Review other experts' work against an acceptance checklist and explain what is wrong and why
Evaluate AI-generated analysis and code for statistical validity and methodological errors
Document your reasoning so a colleague could reproduce it
Apply reviewer feedback and revise until the work is accepted
Work from public or synthetic data only, with nothing confidential
Professional experience in data science, analytics or applied statistics
Fluent in Python or R and SQL
Able to explain a methodological choice in plain written English
- Hands-on data science or applied statistics experience, or a relevant degree in progress or completed
- Fluent written English
- Reliable internet connection and a quiet place to work
- Willing to complete a short AI interview
- Willing to work without AI assistance where the project does not allow it
Official source: app.sovrano.ai. Details can change; the platform's page is the final word. Something wrong with this listing? Tell us.
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