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Mercor · Open to all

Policy Administration & Insurance Operations Manager

Listed on Mercor as “Policy Administration & Insurance Operations Manager

$80/hrRemoteContractPaid in USD
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What this actually is

You complete short labeling tasks, record everyday activities, or evaluate AI outputs across general knowledge domains. Open to most backgrounds. The platform title (Policy Administration & Insurance Operations Manager) reflects the rate band and the expertise required, not the day-to-day work.

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Can you do this on your visa?

F-2 / F-4 / F-5 / F-6: open. E-1 to E-7: needs concurrent-employment permit. D-2 / D-4 students: S-3 permit, 20 hr/week cap. D-10 / D-8: case by case.

Korean tax on USD income

First 5 years in Korea: foreign-source income only taxed if remitted into Korea. After year 5: worldwide income. Full tax guide.

Original posting from Mercor

Compensation: all experts are paid a flat $800 upon successful completion of the onboarding process, which we estimate takes approximately 10 hours. After successfully completing onboarding, you will be converted to $80/hour.

About the Role

Mercor is partnering with a leading AI lab to train frontier models on high-quality insurance reasoning data. We're hiring Policy Administration and Insurance Operations Managers to design realistic policy-processing and servicing scenarios, evaluate model outputs against established operational standards, and help shape how the next generation of AI reasons about the insurance policy lifecycle.

We welcome carrier, MGA, TPA, and insurance-services professionals who have managed or performed policy issuance, endorsements, billing, renewals, cancellations, document production, quality control, or related servicing workflows.

What You'll Do

  • Design realistic scenarios involving application intake, binding, issuance, endorsements, certificates, billing, audits, renewals, cancellations, reinstatements, and policy-document delivery
  • Create work products such as processing instructions, transaction reviews, exception-handling plans, service communications, and operational quality checks
  • Write "golden" reference responses at experienced insurance-operations quality
  • Grade AI-generated responses against structured rubrics for procedural accuracy, completeness, sequencing, and adherence to service standards
  • Identify incorrect effective dates, missing documentation, improper transaction handling, and confusion between operational processing and substantive underwriting decisions
  • Provide written feedback the research team uses to improve model behavior
  • Participate in onboarding office hours and calibration sessions

You're a Good Fit If You

  • Have 2+ years of professional experience in policy administration, underwriting operations, insurance servicing, premium operations, or policy-processing management
  • Understand the chronological policy lifecycle from intake and binding through issuance, servicing, renewal, termination, and record retention
  • Have hands-on experience with policy administration systems, workflow queues, transaction controls, or quality-assurance processes
  • Can translate policy and procedural requirements into precise operational steps
  • Demonstrate excellent written communication, process discipline, and high attention to detail
  • Can distinguish administrative execution from underwriting, claims, legal, and actuarial decisions

Bonus Qualifications

  • Experience across multiple P&C lines or insurance platforms
  • Billing, premium audit, producer licensing, or forms-management experience
  • Experience implementing or testing a policy administration system
  • Lean, Six Sigma, project-management, or operations credential
  • Experience leading service teams or establishing operational controls

Role Highlights

  • Minimum 20 hours per week (ideally 40+)
  • Role starts immediately, applications reviewed on a rolling basis

Quoted from Mercor’s public listing on 2026-09-08. We don’t edit platform copy; honest framing is in the title and the “what this actually is” block above.

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