P&C Actuary & Risk Manager — AI Reasoning Trainer

Mercor; Dallas (TX); On-site; USD 90,000 - 140,000; Part time

Job summary

Mercor partners with a leading AI lab to train frontier models on high-quality insurance reasoning data. We seek P&C actuaries and portfolio risk managers to design realistic pricing, reserving, forecasting, and portfolio-management scenarios, and to evaluate model outputs against actuarial standards.

We welcome actuaries from carriers, reinsurers, MGAs, and consulting firms. Flexible hours, rolling applications, and collaboration with a research team await the right candidates.

Qualifications

• 2+ years of professional experience in P&C actuarial work, insurance pricing, reserving, catastrophe modeling, or portfolio risk management.
• Able to perform quantitative analysis using insurance premium, exposure, claim, loss, or reserve data.
• Understand the difference between account-level underwriting judgment and portfolio-level actuarial analysis.
• Able to explain methods, assumptions, limitations, and business implications clearly to technical and nontechnical audiences.
• Demonstrate strong quantitative reasoning, excellent written communication, and high attention to detail.

Responsibilities

• Design realistic scenarios involving loss costs, rate indications, trend, development, credibility, segmentation, reserving, profitability, capital, catastrophe exposure, and portfolio concentration.
• Create work products such as pricing analyses, reserve reviews, portfolio diagnostics, assumption critiques, sensitivity analyses, and management recommendations.
• Write gold standard reference responses at experienced actuarial and portfolio-risk quality.
• Grade AI-generated responses against structured rubrics for mathematical accuracy, assumption quality, methodology, interpretation, and communication.
• Identify calculation errors, unsupported assumptions, misuse of actuarial methods, confusing correlation with causation, and unsupported recommendations.
• Provide written feedback the research team uses to improve model behavior.
• Participate in onboarding office hours and calibration sessions.

Skills

Quantitative reasoning

Written communication

Attention to detail

Explain methods to audiences

Tools

SQL

R

Python

SAS

Job description

Mercor partners with a leading AI lab to train frontier models on high-quality insurance reasoning data. We seek P&C actuaries and portfolio risk managers to design realistic pricing, reserving, forecasting, and portfolio-management scenarios, and to evaluate model outputs against actuarial standards.

We welcome actuaries from carriers, reinsurers, MGAs, and consulting firms. Flexible hours, rolling applications, and collaboration with a research team await the right candidates.