Policy Operations Lead: Insurance Servicing & AI Readiness

Mercor; København; On-site; DKK 551,000 - 919,000; Full time

Benefits offered by this job

Onboarding bonus

Job summary

Mercor is partnering with a leading AI lab to train frontier models in policy administration and insurance operations. We seek Policy Administration and Insurance Operations Managers to design realistic scenarios, evaluate model outputs, and shape how AI reasons about the policy lifecycle.

Ideal candidates have 2+ years in policy administration or servicing, understand the full lifecycle, and can translate 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.
• 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.

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

Policy lifecycle

Quality assurance

Written communication

Attention to detail

Job description

Mercor is partnering with a leading AI lab to train frontier models in policy administration and insurance operations. We seek Policy Administration and Insurance Operations Managers to design realistic scenarios, evaluate model outputs, and shape how AI reasons about the policy lifecycle.

Ideal candidates have 2+ years in policy administration or servicing, understand the full lifecycle, and can translate requirements into precise steps.