远程保险专家 – 兼职最高可达80元/小时

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