Domain Expert (Contract)

Patronus AI, Inc.

1d

About The Position

Patronus AI is a frontier lab developing simulation research and infrastructure to accelerate progress toward human-aligned AGI. We are on a mission to simulate all of the world’s intelligence.
We are the team behind some of the earliest and most influential research in AI evaluation like FinanceBench, Lynx, SimpleSafetyTests, CopyrightCatcher, Humanity’s Last Exam, and more. We are formerly AI researchers and engineers from companies like Meta AI, Amazon AGI, and Google. Our customers include foundation model labs and Fortune 500 enterprises like Adobe. We are backed by top-tier investors like Lightspeed Venture Partners, Notable Capital, Stanford University, Noam Brown, Gokul Rajaram, and more.

We’re looking for experienced professionals to help improve how AI understands and performs real-world work. You’ll share your expertise, contribute to realistic scenarios, and review work for accuracy and quality.
Projects vary, but all require clear thinking, sound professional judgment, and attention to detail. No prior AI or machine learning experience is required.

Requirements

• 3+ years of relevant professional experience, or substantial research experience in your field.
• Strong professional judgment and the ability to spot subtle errors or gaps in reasoning.
• Clear writing and the ability to explain complex ideas in straightforward terms.
• Careful attention to detail and a habit of checking your own work.
• Curiosity and a willingness to question assumptions.
• Comfort using spreadsheets, structured templates, and everyday digital tools.
• Ability to work independently, respond to feedback, and meet deadlines.
• Professional fluency in English.
• Experts across finance, law, medicine, engineering, science, mathematics, software, writing, and other professional fields.

Nice To Haves

• Experience teaching, conducting research, publishing, or designing assessments.
• Experience reviewing others’ work or providing structured feedback.
• Previous involvement in AI training, evaluation, or similar projects.

Responsibilities

• Answer questions about the workflows, decisions, and challenges in your field.
• Develop realistic scenarios and problems grounded in your professional experience.
• Provide clear explanations, reference answers, and supporting examples.
• Help define quality standards and assess work against them.
• Test and refine content to reflect real-world complexity.
• Review other contributors’ work for accuracy, clarity, and practical relevance.
• Incorporate feedback promptly and flag gaps or unclear guidance.

What This Job Offers

• Career Level: Mid Level
• Education Level: No Education Listed