Insurance Expert

Role Overview

Mercor is partnering with leading AI labs to engage experienced insurance professionals — underwriters, actuaries, claims specialists, and agents — to improve AI systems' reasoning around risk assessment, policy evaluation, and claims processing. Contributors will apply their expertise in areas such as commercial and personal lines underwriting, actuarial analysis, regulatory compliance, and loss adjustment to evaluate and enhance AI performance on insurance-specific tasks. This is a project-based opportunity with potential for ongoing engagement depending on performance and project needs.

Key Responsibilities

• Review and evaluate AI-generated outputs related to policy language interpretation, risk classification, claims adjudication, and actuarial projections

• Create realistic scenarios based on insurance workflows — underwriting submissions, claims investigations, coverage disputes, rate filings, and regulatory examinations

• Annotate, label, and validate data across insurance use cases (e.g., loss reserving, fraud detection, policy coverage analysis)

• Provide structured feedback on AI accuracy in areas such as insurance regulations (state DOI requirements, NAIC guidelines), actuarial standards, and industry-specific terminology

• Collaborate asynchronously with research teams to refine evaluation frameworks for insurance-domain AI

Ideal Qualifications

• 3+ years of professional experience at an insurance carrier, brokerage, reinsurer, or regulatory body

• Background in one or more areas such as:

  • Underwriting (commercial, personal, specialty lines)

  • Claims management (property, casualty, liability, workers' comp)

  • Actuarial science (pricing, reserving, capital modeling)

  • Insurance sales or brokerage (P&C, life, health, benefits)

  • Compliance, regulatory affairs, or risk management

• Professional designations a plus (CPCU, ARM, FCAS, FSA, AIC)

• Strong analytical thinking and ability to translate insurance workflows into structured evaluation tasks

• Clear written communication and attention to detail

Compensation Note

• Task Completion Pay: Competitive and based on task quality (~$1,150 – $1,450 per completed task, subject to change as the project evolves)

• Performance Bonus: Top performers receive a weekly bonus incentive on top of their per task rate!

• Hourly Opportunity: Top performers may be invited to transition to an hourly compensation model based on sustained quality and throughput.

We consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request.

Contract and Payment Terms

• You will be engaged as an independent contractor.
• This is a fully remote role that can be completed on your own schedule.
• Projects can be extended, shortened, or concluded early depending on needs and performance.
• Your work at Mercor will not involve access to confidential or proprietary information from any employer, client, or institution.
• Payments are weekly on Stripe or Wise based on services rendered.
• Please note: We are unable to support H1-B or STEM OPT candidates at this time.

About Mercor

Mercor partners with leading AI labs and enterprises to train frontier models using human expertise. You will work on projects that focus on training and enhancing AI systems. You will be paid competitively, collaborate with leading researchers, and help shape the next generation of AI systems in your area of expertise.