AI-Driven Insurance Operations Lead

Obsidian

Houston (TX)

On-site

USD 65,000 - 105,000

Part time

14 days+
Application generator

A complete application in a minute — tailored resume and cover letter, ready to send.

Get past ATS filters

Job summary

Mercor is seeking Policy Administration and Insurance Operations Managers to design policy-processing scenarios and evaluate AI outputs against service standards. You will craft processing instructions, reviews, and quality checks, then grade AI responses for accuracy and completeness.

Role emphasizes translating requirements into precise steps, thorough documentation, and strong written communication. Rolling applications; role starts immediately with ongoing onboarding sessions.

Qualifications

  • 2+ years of professional experience in policy administration, underwriting operations, insurance servicing, premium operations, or policy-processing management.
  • Understanding of the policy lifecycle from intake to record retention.
  • Hands-on experience with policy administration systems, workflow queues, transaction controls, or QA processes.
  • Ability to translate policy and procedural requirements into precise operational steps.
  • Excellent written communication, process discipline, and high attention to detail.

Responsibilities

  • Design realistic scenarios for application intake, binding, issuance, endorsements, billing, renewals, cancellations, and policy-document delivery.
  • Create work products such as processing instructions, transaction reviews, exception-handling plans, service communications, and quality checks.
  • Write reference responses at an experienced insurance-operations quality level.
  • Grade AI-generated responses against structured rubrics for procedural accuracy, completeness, sequencing, and service-standard adherence.
  • Provide written feedback to the research team to improve model behavior.

Skills

Policy administration
Insurance operations
Quality assurance
Written communication

Tools

Policy administration systems

Job description

Mercor is seeking Policy Administration and Insurance Operations Managers to design policy-processing scenarios and evaluate AI outputs against service standards. You will craft processing instructions, reviews, and quality checks, then grade AI responses for accuracy and completeness.

Role emphasizes translating requirements into precise steps, thorough documentation, and strong written communication. Rolling applications; role starts immediately with ongoing onboarding sessions.

Get your free, confidential resume review.
or drag and drop your file here.
Similar jobs

Similar jobs worth comparing

Insurance Policy Operations Lead
Insurance Policy Operations Lead

Dorado • United States

Remote
USD 96,000 - 138,000
Policy Operations Lead for AI-Driven Insurance
Policy Operations Lead for AI-Driven Insurance

Mercor • New York (NY)

On-site
USD 42,000 - 64,000
Insurance Ops Lead for AI Training & Quality
Insurance Ops Lead for AI Training & Quality

Mercor • Houston (TX)

On-site
USD 65,000 - 95,000
Strategic Policy Operations Lead – Insurance Servicing
Strategic Policy Operations Lead – Insurance Servicing

Mercor • United States

Remote
USD 90,000 - 130,000
Insurance Operations Manager - Expert - AI Trainer
Insurance Operations Manager - Expert - AI Trainer

Obsidian • Houston (TX)

On-site
USD 65,000 - 105,000
Insurance Operations Manager - Expert
Insurance Operations Manager - Expert

Obsidian • New York (NY)

On-site
USD 60,000 - 90,000
Insurance Operations Manager - Expert - AI Trainer
Insurance Operations Manager - Expert - AI Trainer

Mercor • Houston (TX)

On-site
USD 65,000 - 95,000
Insurance Operations Manager - Expert
Insurance Operations Manager - Expert

Mercor • New York (NY)

On-site
USD 42,000 - 64,000
Policy Administration Specialist - Remote
Policy Administration Specialist - Remote

Mercor • New York (NY)

Remote
USD 70,000 - 110,000
Policy Operations Specialist — Lifecycle & QA
Policy Operations Specialist — Lifecycle & QA

Mercor • New York (NY)

Remote
USD 70,000 - 110,000