Insurance Specialist - Fully Remote | Upto $80/hr Part-time

About the job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark , General Catalyst , Peter Thiel , Adam D'Angelo , Larry Summers , and Jack Dorsey . Position: Insurance Specialist Type: Contract Compensation: $60–$80/hour Location: Remote Role Responsibilities • Guide research and engineering teams to close knowledge gaps in underwriting, claims, and risk-assessment reasoning. • Design challenging, domain-relevant insurance tasks and write accurate, well-reasoned solutions grounded in real underwriting/claims practice. • Evaluate AI model outputs against structured rubrics and provide clear, written feedback on correctness, judgment, and reasoning quality. • Develop and refine evaluation guidelines and scoring rubrics specific to insurance tasks. • Collaborate with other subject matter experts to ensure consistency and accuracy in training data. Qualifications Must-Have • 8+ years of dedicated professional experience in insurance (e.g., underwriting, claims, actuarial, risk management) at a recognized, top-tier organization (e.g., AIG, Chubb, Allstate, Progressive, MetLife, Marsh McLennan, or equivalent). • Prior hands-on experience evaluating LLM/AI model outputs against rubrics or structured scoring criteria. • Demonstrable career progression (e.g., Underwriter → Senior Underwriter → VP of Underwriting). • Ability to engage reliably for at least 35 hours/week during weekdays. • Verbal and written communication skills, problem-solving skills, and interpersonal skills. Application Process (Takes 20–30 mins to complete) • Upload resume • AI interview based on your resume • Submit form Resources & Support • For details about the interview process and platform information, please check: • For any help or support, reach out to: PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity. Originally posted on Himalayas