Quick facts
- Pay
- $90–$105/hr
- Type
- Contract
- Location
- Remote — United States
- Hours
- 10–20 hours / week
- Platform
- Patronus AI — 26 open jobs
- Typical pay at Patronus AI
- $45–150/hour · median $90 (21 jobs on our site)
- Payout
- Contractor payments (method not published) (reported by workers)
- Apply
- Free to apply — never pay to get AI training work
Pay: $90–$105/hr
Commitment: Flexible, typically 10–20 hours per week
Patronus AI is a frontier lab building simulation research and infrastructure to accelerate progress toward human-aligned AGI. We built some of the earliest research in AI evaluation, including FinanceBench, Lynx, SimpleSafetyTests, CopyrightCatcher and Humanity's Last Exam. Our team comes from Meta AI, Amazon AGI and Google. Our customers include foundation model labs and Fortune 500 companies, and we are backed by Lightspeed Venture Partners, Notable Capital and others.
We're looking for revenue operations analysts who do this work today. In your role you own pipeline hygiene, stage rules and forecast rollups, keep CRM data clean, and tie bookings and billing back to the forecast. You'll help us show frontier AI models how that work is really done, and where they get it wrong. You don't need an AI background.
What you'll do
- Explain how the work is done in your role: the steps, the documents, who decides what, and where things go wrong.
- Review realistic task packets, such as pipeline reports, forecast rollups and tie-outs, stage exit criteria, dedupe and data quality audits, and bookings and billing reconciliations, and flag anything a practitioner would find unrealistic.
- Write scoring rubrics precise enough that two independent reviewers reach the same verdict.
- Create new, original tasks from fictional scenarios, solve them yourself and document your reasoning.
- Work independently and asynchronously, meet agreed deadlines and work in reviewer feedback.