Insurance Specialist (GenAI Training)
Company: Mercor · Pay: $60–$80/hr · Location: Remote — United States · Type: contractor · Posted: 2026-09-14
The Convergence of Insurance Expertise and Artificial Intelligence: Shaping Foundational LLMs
The artificial intelligence revolution is expanding far beyond simple code generation and consumer chatbots. Today, the world's leading AI laboratories are racing to build sophisticated, domain-specific foundational models capable of reasoning through complex, high-stakes industries like insurance, legal risk assessment, and financial underwriting. However, to construct AI systems that can accurately navigate risk analysis, policy terms, and claims adjustments, engineering teams require elite human domain experts.
Platforms like Mercor are bridging this gap by connecting top-tier subject-matter professionals with cutting-edge GenAI research labs. The remote Insurance Specialist position offers seasoned insurance executives, senior underwriters, and risk managers an incredible opportunity to apply their decades of real-world knowledge to artificial intelligence development. Compensated at an exceptional rate of $60 to $80 per hour, this role allows industry leaders to help shape the next generation of LLMs while working flexibly from anywhere in the United States.
Comprehensive Job Description & Core Responsibilities
For career underwriters, claims directors, and risk management veterans looking to pivot or supplement their expertise with high-impact technology consulting, understanding the scope of this role is essential. As an Insurance Specialist, your core mission is to inject rigorous, real-world underwriting judgment and logical frameworks into foundational AI training pipelines.
Key Responsibilities Include:
- Guiding AI Research & Engineering: Work alongside top-tier technical teams to close complex knowledge gaps concerning underwriting judgment, claims lifecycles, and multi-layered risk-assessment reasoning.
- Designing Domain-Specific Tasks: Construct challenging, real-world insurance tasks and write accurate, highly-reasoned solutions rooted in professional underwriting and claims practice.
- Evaluating AI Model Outputs: Systematically evaluate AI-generated outputs against structured rubrics, delivering clear, meticulous written feedback regarding correctness, logical judgment, and reasoning quality.
- Refining Scoring Rubrics: Develop, test, and continuously optimize evaluation guidelines and rubrics tailored specifically to high-level insurance scenarios.
- Cross-Functional Collaboration: Partner closely with other industry subject-matter experts to ensure total consistency, accuracy, and standardization across all training datasets.
Candidate Qualifications & Professional Requirements
Because these foundational AI models directly impact safety and reasoning standards in highly regulated domains, the qualifications for this position demand deep professional pedigree and hands-on technical evaluation experience.
- Professional Tenure: 8+ years of dedicated, hands-on professional experience within the insurance sector (e.g., underwriting, complex claims, actuarial science, or risk management) at recognized, top-tier organizations (such as AIG, Chubb, Allstate, Progressive, MetLife, Marsh McLennan, or equivalent enterprises).
- AI Model Evaluation Experience: Prior hands-on experience evaluating LLM or AI model outputs against structured rubrics and scoring criteria is strictly mandatory; applicants must be prepared to articulate this experience clearly.
- Career Progression: Demonstrable, upward career trajectory (e.g., progressing from Underwriter to Senior Underwriter to VP of Underwriting or equivalent leadership milestones).
- Time Commitment: Ability to engage reliably for at least 35 hours per week during standard U.S. weekdays.
- Communication Skills: Outstanding verbal and written English communication skills, paired with sophisticated problem-solving and interpersonal abilities.
Employment Structure: This position operates as a W-2 employment role through Cincinnatus LLC, providing comprehensive payroll, compliance, and employment benefits while placing you directly within elite client tech teams.
Contract Terms, Flexibility, and Seamless Payouts
Engaging with cutting-edge AI labs through Mercor and Cincinnatus LLC combines the stability of corporate employment with the ultimate flexibility of remote work:
- Full Remote Autonomy: Complete your evaluation assignments on a flexible schedule from your home office anywhere across the United States.
- High-Impact Collaboration: Rub shoulders with visionary researchers and engineers building the future of artificial intelligence.
- Reliable Compensation: Enjoy dependable pay structures backed by professional W-2 employment standards through Cincinnatus LLC.
Why This Role Elevates Your Professional Journey
If you have spent your career mastering the subtleties of policy evaluation, risk mitigation, and claims navigation, your specialized insights are immensely valuable. Traditional corporate insurance structures can often feel rigid. Conversely, participating in GenAI training allows you to operate at the bleeding edge of innovation—future-proofing your skillset while earning up to $80 per hour.
As artificial intelligence continues to transform risk management and financial services, being an early architect of these systems positions you as a forward-thinking pioneer in both insurance and technology.
Secure Your Opportunity Today
High-paying, highly specialized remote roles focusing on GenAI training fill up exceptionally fast. If you possess the required underwriting background and LLM evaluation experience, take the next step in your career by submitting your application now.
Responsibilities
- Guiding AI Research & Engineering: Work alongside top-tier technical teams to close complex knowledge gaps concerning underwriting judgment, claims lifecycles, and multi-layered risk-assessment reasoning.
- Designing Domain-Specific Tasks: Construct challenging, real-world insurance tasks and write accurate, highly-reasoned solutions rooted in professional underwriting and claims practice.
- Evaluating AI Model Outputs: Systematically evaluate AI-generated outputs against structured rubrics, delivering clear, meticulous written feedback regarding correctness, logical judgment, and reasoning quality.
- Refining Scoring Rubrics: Develop, test, and continuously optimize evaluation guidelines and rubrics tailored specifically to high-level insurance scenarios.
- Cross-Functional Collaboration: Partner closely with other industry subject-matter experts to ensure total consistency, accuracy, and standardization across all training datasets.
Qualifications
- Professional Tenure: 8+ years of dedicated, hands-on professional experience within the insurance sector (e.g., underwriting, complex claims, actuarial science, or risk management) at recognized, top-tier organizations (such as AIG, Chubb, Allstate, Progressive, MetLife, Marsh McLennan, or equivalent enterprises).
- AI Model Evaluation Experience: Prior hands-on experience evaluating LLM or AI model outputs against structured rubrics and scoring criteria is strictly mandatory; applicants must be prepared to articulate this experience clearly.
- Career Progression: Demonstrable, upward career trajectory (e.g., progressing from Underwriter to Senior Underwriter to VP of Underwriting or equivalent leadership milestones).
- Time Commitment: Ability to engage reliably for at least 35 hours per week during standard U.S. weekdays.
- Communication Skills: Outstanding verbal and written English communication skills, paired with sophisticated problem-solving and interpersonal abilities.