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Insurance Specialist

Mercor · 100% remote · Contract · Posted

Pay
$60–80/hr
Location
United States
Languages
English
Hours
at least 35 hours/week during weekdays
Openings
Not listed
Level
Expert
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Summary

Evaluate AI model outputs against rubrics for insurance tasks, design domain-relevant tasks, and provide written feedback on correctness and reasoning. Guide research teams to close knowledge gaps in underwriting and claims.

What you'll do

  • 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.
  • Evaluate AI model outputs against structured rubrics and provide clear, written feedback.
  • Develop and refine evaluation guidelines and scoring rubrics.
  • Collaborate with other subject matter experts.

Requirements

  • 8+ years of dedicated professional experience in insurance.
  • Prior hands-on experience evaluating LLM/AI model outputs against rubrics.
  • Demonstrable career progression in insurance.
  • Verbal and written communication skills.
  • Problem-solving skills.
  • Interpersonal skills.

Skills

  • Insurance
  • Underwriting
  • Claims
  • Risk Assessment
  • AI Model Evaluation
  • Rubric Development

Full description

Join a leading AI lab's cutting-edge GenAI team to be at the core of the AI revolution, where your expertise fuels the development of the most advanced Large Language Models.

1. Overview

Join a leading AI lab's cutting-edge GenAI team and help build foundational AI models from the ground up. We're seeking talented Insurance subject-matter experts (SMEs) with deep domain expertise and hands-on experience evaluating AI model outputs against rubrics to bring rigor and real-world underwriting judgment to our AI training data.

This is a W-2 employment position with Cincinnatus LLC, with the opportunity to be placed at a leading AI Lab as part of their extended workforce.

2. Key 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.

3. Core 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 — mandatory; please describe this experience in your application.

  • 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.

About Cincinnatus LLC: Cincinnatus LLC is an enterprise staffing company that partners with leading technology companies to source and employ highly skilled professionals for contingent and contract-based opportunities. Cincinnatus serves as the employer of record for these engagements, providing W-2 employment, payroll, benefits, and compliance, while placing employees directly within client teams to work on high-impact initiatives.

Equal Employment Opportunity: Cincinnatus is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or any other legally protected characteristic.

Location: open to applicants in United States.

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