Insurance Specialist - Domain Expert

Mercor; New York (NY); On-site; USD 90,000 - 120,000; Full time

Job summary

Mercor is collaborating with a leading AI lab to engage experienced insurance professionals across underwriting, claims, actuarial, risk management, and related areas. You will design realistic insurance scenarios and provide structured feedback to help train AI systems.

Open to diverse insurance specialties, with opportunities to contribute where your expertise is strongest and to grow into reviewer and domain-expert roles.

Qualifications

• 3+ years of professional experience in insurance (underwriting, claims, actuarial, risk management, etc.).
• Bachelor's degree in a related field.
• Comfortable with common industry tools and systems (policy administration, claims, rating platforms, Excel).
• Strong written communication and attention to detail.

Responsibilities

• Design realistic insurance scenarios and tasks drawn from day-to-day work (risk assessment, underwriting, claims adjudication, coverage analysis).
• Review and compare AI-generated outputs for accuracy and regulatory compliance.
• Create structured examples reflecting how insurance professionals reason through problems.
• Provide clear written feedback to improve AI performance on insurance tasks.
• Collaborate asynchronously with the research team.

Skills

Insurance experience

Strong written communication

Education

Bachelor's degree in a related field

Professional credential preferred (CPCU/ARM/AINS/CLU/ASA/FCAS/ACAS)

Tools

Excel

Job description

Role Overview

Mercor is collaborating with a leading AI lab to engage experienced insurance professionals across all areas of practice — including underwriting, claims, actuarial, risk management, brokerage, compliance, reinsurance, and policy/product. Contributors help build AI systems that reason about real insurance work by translating everyday insurance workflows, judgments, and decision-making into structured, high-quality training data.

Key Responsibilities

• Design realistic insurance scenarios and tasks drawn from your day-to-day work (e.g., risk assessment and underwriting decisions, claims adjudication, policy interpretation, coverage analysis, actuarial pricing/reserving, regulatory compliance reviews)

• Review and compare AI-generated insurance outputs for accuracy, sound professional judgment, and regulatory/standards compliance

• Create structured examples that reflect how insurance professionals actually reason through problems

• Provide clear written feedback that improves how AI performs insurance tasks

• Collaborate asynchronously with the research team

Ideal Qualifications

• 3+ years of professional experience in insurance (underwriting, claims, actuarial, risk management, brokerage, compliance, or a related area; carrier, broker/agency, reinsurer, or advisory)

• A professional credential such as CPCU, ARM, AINS, CLU, AIC, ACAS/FCAS or ASA/FSA (actuarial), or a state adjuster/broker license is preferred

• Bachelor's degree in a related field

• Comfortable with common industry tools and systems (e.g., policy administration, claims, and rating platforms, Excel)

• Strong written communication and attention to detail

More About the Opportunity

• Open to all insurance specialties — contribute where your expertise is strongest

• Work spans task design, evaluation, and structured feedback on AI insurance outputs

• Strong contributors advance into reviewer, lead, and domain-expert roles