Commissions Analyst (Contract, Remote)

Patronus AI; United States; Remote; USD 96,000 - 145,000; Part time

Job summary

Patronus AI is seeking a sales commissions and compensation analyst to help model and manage payout plans for our growing AI frontier business. You will calculate commissions against quota, administer plans, and handle accruals, clawbacks, true-ups and split credit while remaining independent and data-driven.

No AI background required; you will review compensation documents, flag inconsistencies, and document reasoning with clear rubrics, working asynchronously to meet deadlines.

Qualifications

• Experience in sales compensation is preferred.
• Ability to analyze compensation plans and flag issues.

Responsibilities

• Explain how commissions are calculated and what drives results.
• Review compensation documents and attainment reports for realism and accuracy.
• Write scoring rubrics precise enough for consistent reviews.
• Create new scenarios and document your reasoning clearly.
• Work independently and meet deadlines in a reviewer-driven process.

Skills

Commission calculations

Quota attainment

Plan administration

Dispute handling

Job description

Pay: $70–$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 sales commissions and compensation analysts who do this work today. In your role you calculate commissions against quota and attainment, administer comp plans, and handle clawbacks, true-ups, split credit, disputes and accruals. 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 comp plan documents, commission calculations, attainment reports, clawback and true-up schedules, dispute logs and commission statements, 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.