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Insurance Operations Manager - Expert - AI Trainer

Role overview

Qualifications

  • 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.
  • Hands-on experience with policy administration systems, workflow queues, transaction controls, or quality-assurance processes.
  • Excellent written communication, process discipline, and high attention to detail.

Responsibilities

  • 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.

About the company

Mercor logo

Mercor

Job Boards & Talent Marketplaces

Our vast talent network trains frontier AI models in the same way teachers teach students: by sharing knowledge, experience, and context that can't be captured in code alone. Today, more than 30,000 experts in our network collectively earn over $2 million a day.

Company details

IndustryJob Boards & Talent Marketplaces
Company size51 - 200

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Job description

About the job

Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.

Position: Policy Administration & Insurance Operations Manager
Type: Contract
Compensation: $800/hour
Location: Remote
Commitment: 20–40 hours/week

Role Responsibilities

  • 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.

Qualifications

Must-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.
  • Hands-on experience with policy administration systems, workflow queues, transaction controls, or quality-assurance processes.
  • Ability to translate policy and procedural requirements into precise operational steps.
  • Excellent written communication, process discipline, and high attention to detail.
  • Ability to distinguish administrative execution from underwriting, claims, legal, and actuarial decisions.

Preferred

  • 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.

Start Date

  • Immediately; applications reviewed on a rolling basis.

Application Process (Takes 20–30 mins to complete)

  • Upload resume
  • AI interview based on your resume
  • Submit form

Resources & Support

  • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome
  • For any help or support, reach out to: support@mercor.com

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.



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Marcus Rivera

Chief Revenue Officer

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