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Sovrano AI is looking for data scientists for fully remote, project-based work to test frontier AI with real data science tasks including analysis, experiments, modeling and SQL. You create tasks from your own experience, run them through frontier models, and judge results as a peer reviewer, setting your own schedule.
Compensation is $40–$125 USD per hour (min 10 hours/week), paid via PayPal; independent contractor arrangement with no AI-assisted work unless allowed.
Fully remote, project-based work checking how well frontier AI does real data science: analysis, experiments, modeling, and SQL. You write tasks based on your own experience and grade where the model gets it wrong. $40 to $125 USD an hour, at least 10 hours a week, as an independent contractor. For data scientists in the US, UK, Ireland, Canada, or Australia.
AI models write plausible analysis code quickly, and the conclusions are not always right. This role puts your experience to work finding out where. You turn problems from your own work into realistic tasks, run them through frontier models, and judge the answers the way you would review a colleague's analysis. You set your own schedule, and the work rewards careful writing as much as expertise.
$40 to $125 USD an hour. The rate varies with your expertise, education, and experience. Minimum 10 hours a week with no weekly maximum; full-time hours are available.
Independent contractor, fully remote. Payment runs through PayPal, so you need a PayPal account. As an independent contractor, you handle your own taxes.
Getting on: a skills assessment that takes most people four to six hours. You are paid $240 for it if you pass, and you get one attempt, so take your time and do your best work. Work produced with AI tools is rejected.
After you pass: onboarding and a short training project, then you propose a task from your own practice, build it, and run it against frontier models. Each stage is reviewed before you move on, and you are paid for the work you complete.
Python, SQL, Statistics, Experimentation, Machine learning, Rubric writing