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

mercor; United States; Remote; USD 83,000 - 110,000; Full time

Job summary

Mercor in the United States is seeking an Insurance Specialist for a contract, remote engagement. You will leverage your deep insurance experience to guide AI research teams in underwriting, claims, and risk assessment.

The role requires evaluating LLM outputs against rubrics, designing evaluation guidelines, and collaborating with subject matter experts to ensure accurate training data.

Qualifications

• 8+ years of dedicated professional experience in insurance at a top-tier organization.
• Hands-on experience evaluating LLM/AI model outputs against rubrics or scoring criteria.
• Demonstrable career progression (e.g., Underwriter to VP of Underwriting).
• Ability to engage reliably for at least 35 hours/week during weekdays.
• Strong verbal and written communication and interpersonal skills.

Responsibilities

• Guide research and engineering teams to close knowledge gaps in underwriting, claims, and risk assessment.
• Design domain-relevant insurance tasks and write accurate, well-reasoned solutions grounded in real practice.
• Evaluate AI model outputs against structured rubrics and provide clear feedback on correctness and reasoning.
• Develop evaluation guidelines and scoring rubrics specific to insurance tasks.
• Collaborate with subject matter experts to ensure training data accuracy.

Skills

Insurance experience

AI evaluation

Communication skills

Problem solving

Time commitment 35h/wk

Job description

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

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

• 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.

Resources & Support

• For details about the interview process and platform information, please check:
• For any help or support, reach out to: