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We are Sovrano AI, offering fully remote, project-based work for physicists to test frontier AI against real physics problems. You’ll create tasks from your own experience, run them through frontier models, and judge correctness with industry standards. Pay is $40–$125 per hour, with a minimum of 10 hours per week for independent contractors.
Some projects involve coding. You’ll set your own schedule, and successful candidates are paid for completed stages.
Fully remote, project-based work checking how well frontier AI does real physics: modeling, simulation, and measurement. 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 physicists working in research or industry in the US, UK, Ireland, Canada, or Australia.
AI models can walk through physics fluently and still set a problem up wrong. 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 check a colleague's calculation. Some projects involve writing code. 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.
Physics, Computational modeling, Measurement and uncertainty, Simulation, Python, Rubric writing