Insurance Policy Operations & AI Quality Specialist

Obsidian; San Francisco (CA); Remote; USD 140,000 - 190,000; Full time

Job summary

Mercor in San Francisco is seeking Policy Administration and Insurance Operations Managers to design policy-processing scenarios and evaluate AI outputs for insurance lifecycle reasoning. You will craft processing instructions, grade responses, and provide feedback to improve model behavior.

Ideal candidates have 2+ years in policy administration or related fields, hands-on experience with policy systems, and a strong ability to translate complex requirements into precise steps.

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
• 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

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
• Participate in onboarding office hours and calibration sessions

Skills

Policy administration

Underwriting operations

Insurance servicing

Premium operations

Policy-processing management

Job description

Mercor in San Francisco is seeking Policy Administration and Insurance Operations Managers to design policy-processing scenarios and evaluate AI outputs for insurance lifecycle reasoning. You will craft processing instructions, grade responses, and provide feedback to improve model behavior.

Ideal candidates have 2+ years in policy administration or related fields, hands-on experience with policy systems, and a strong ability to translate complex requirements into precise steps.