AI GenAI Insurance SME - Underwriting & Model Evaluation

Mercor; New York (NY); On-site; USD 140,000 - 190,000; Full time

Job summary

Cincinnatus LLC is recruiting for an Insurance Subject‑Matter Expert to join a leading AI lab's GenAI team in New York. This W-2 role involves evaluating insurance tasks and guiding model development for high‑quality underwriting judgments, with placement at the client lab as part of the extended workforce.

You will engage in 35+ hours per week on weekdays, design tasks, evaluate model outputs against rubrics, and collaborate with other SMEs to ensure accurate training data.

Qualifications

• 8+ years of dedicated insurance experience at a top‑tier organization.
• Hands‑on experience evaluating LLM outputs against rubrics.
• 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.

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.

Skills

Insurance experience

LLM evaluation

Underwriting/claims

Communication skills

Risk assessment

Job description

Cincinnatus LLC is recruiting for an Insurance Subject‑Matter Expert to join a leading AI lab's GenAI team in New York. This W-2 role involves evaluating insurance tasks and guiding model development for high‑quality underwriting judgments, with placement at the client lab as part of the extended workforce.

You will engage in 35+ hours per week on weekdays, design tasks, evaluate model outputs against rubrics, and collaborate with other SMEs to ensure accurate training data.