Insurance Expert - AI Lab Project

Overview

Mercor partners with a leading AI lab on a project that turns real insurance work into training material for AI systems. You will apply your own practice in underwriting, claims, actuarial analysis, or a related specialty to write realistic scenarios and assess model outputs. The engagement is remote and paid by the hour, and you can focus on the area where your expertise runs deepest.

What You'll Do

• Design insurance tasks that mirror your day-to-day work, such as risk assessment, underwriting decisions, claims adjudication, policy interpretation, coverage analysis, actuarial pricing, reserving, or compliance reviews.
• Review AI-generated insurance answers for accuracy, sound professional judgment, and alignment with regulations and industry standards.
• Write structured examples that capture how insurance professionals reason through coverage disputes, rating questions, and claim outcomes.
• Give clear written feedback that helps the research team improve model performance on insurance tasks.
• Compare model outputs with accepted practice and flag gaps in logic, documentation, or regulatory fit.
• Work with researchers on an asynchronous schedule and share updates in writing.
• Contribute in your strongest specialty while staying open to related insurance workflows.

Requirements

• 3+ years of professional experience in insurance, with work in underwriting, claims, actuarial, risk management, brokerage, compliance, or a related practice.
• The team prefers a credential such as CPCU, ARM, AINS, CLU, AIC, ACAS/FCAS, ASA/FSA, or a state adjuster or broker license.
• Bachelor's degree in a related field.
• Comfort with policy administration, claims, and rating platforms, plus Excel.
• Strong written communication and close attention to detail.
• Ability to break down complex insurance decisions into clear steps for a research audience.

Who Should Apply

The strongest applicants bring at least three years of hands-on insurance work and can point to a specialty, such as underwriting, claims, actuarial, or compliance. A current credential like CPCU, ARM, or a state license adds weight, and so does comfort with policy admin or claims systems. People without direct insurance practice, or those who have only studied the field, tend to score lower on this project. A common reason candidates get rejected is failing to show how they make real decisions, such as how they assess risk, interpret a policy, or settle a claim, rather than just listing job titles.

Required Skills

insurance · underwriting · claims · actuarial · risk management · brokerage · compliance · reinsurance · policy administration · claims adjudication · coverage analysis · regulatory compliance · excel · rating platforms · cpcu · arm · ains · clu · aic · acas · fcas · asa · fsa · adjuster license · broker license