An application made for this job — a tailored resume and cover letter that speak straight to the posting.
Mercor, in collaboration with a leading AI lab, seeks experienced insurance professionals across underwriting, claims, actuarial, risk management, brokerage, compliance, reinsurance, and policy/product. You will design realistic insurance scenarios and tasks drawn from daily work to train AI systems.
Ideal candidates have 3+ years in insurance, credentials encouraged, a related Bachelor's, and comfort with policy administration and rating tools.
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.
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
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
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