Insurance Policy Operations Lead for AI Training

Mercor; Dallas (TX); On-site; USD 83,000 - 138,000; Full time

Job summary

Mercor is partnering with a leading AI lab to train frontier models on high-quality insurance reasoning data. The role focuses on policy administration and insurance operations, designing realistic processing scenarios and evaluating model outputs against operational standards.

You will help shape how AI reasons about the insurance policy lifecycle, working with professionals who have experience in policy issuance, endorsements, billing, renewals, and servicing workflows.

Qualifications

• 2+ years of professional policy administration or underwriting operations experience.
• Understanding of the policy lifecycle from intake to renewal.
• Hands-on with policy administration systems and workflow queues.
• Ability to translate policy requirements into precise operational steps.
• Excellent written communication and high attention to detail.
• Able to distinguish administrative execution from underwriting decisions.

Responsibilities

• Design realistic scenarios for 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 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.

Skills

Policy administration

Insurance operations

Policy processing

Quality control

Written communication

Job description

Mercor is partnering with a leading AI lab to train frontier models on high-quality insurance reasoning data. The role focuses on policy administration and insurance operations, designing realistic processing scenarios and evaluating model outputs against operational standards.

You will help shape how AI reasons about the insurance policy lifecycle, working with professionals who have experience in policy issuance, endorsements, billing, renewals, and servicing workflows.