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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
Application Process
Submit a resume or a short summary of your insurance experience
Complete a short form on your practice area, specialties, and certifications
Selected applicants may complete a brief sample task
Follow-up typically provided within a few days
Listing sourced from Mercor. Annotation Academy is independent of these platforms and does not guarantee work or pay. See our disclosures.