Insurance Actuarial Specialist - Expert - AI Trainer

Obsidian; Charlotte (NC); On-site; USD 90,000 - 130,000; Full time

Job summary

Obsidian is seeking Insurance Actuarial Specialists to design pricing, reserving, and risk-modeling scenarios for AI-powered insurance reasoning. You will evaluate outputs against actuarial standards and help shape probabilistic risk assessments.

We welcome actuaries from all practice areas with 2+ years of experience, strong quantitative skills, and credentials such as ASA, FSA, or ACAS. Collaboration with AI researchers and regulatory awareness required.

Qualifications

• 2+ years of professional actuarial experience in any practice area.
• Ability to design pricing, reserving and valuation scenarios.
• Credentialing and strong documentation of methods and rationale.

Responsibilities

• Design realistic ratemaking, loss reserving, valuation and profitability scenarios.
• Create pricing models, reserve reviews, memoranda and technical assumptions.
• Grade AI-generated actuarial responses for methodological soundness and accuracy.
• Identify flawed methods and document rationale for improvements.
• Provide written feedback to help improve model behavior.

Skills

Actuarial analysis

Pricing models

Data analysis

Quantitative reasoning

Education

Actuarial credential (ASA/FSA/ACAS/FCAS/CERA/MAAA)

Tools

R

Python

SAS

SQL

Prophet

Emblem

Radar

ResQ

Job description

About the Role

Mercor is partnering with a leading AI lab to train frontier models on high-quality insurance reasoning data. We're hiring Insurance Actuarial Specialists to design realistic pricing, reserving, and risk-modeling scenarios, evaluate model outputs against established actuarial standards, and help shape how the next generation of AI reasons about probability, loss estimation, and financial risk.

We welcome actuaries across all practice areas, including life, health, property & casualty, pensions/retirement, and enterprise risk — from insurers, reinsurers, consultancies, and corporate actuarial teams.

What You’ll Do

• Design realistic scenarios involving ratemaking, loss reserving, valuation, experience studies, assumption-setting, and profitability analysis
• Create work products such as pricing models, reserve reviews, actuarial memoranda, technical assumptions, and results summaries
• Write "golden" reference responses at experienced actuarial-professional quality
• Grade AI-generated responses against structured rubrics for methodological soundness, calculation accuracy, assumption justification, and clear communication
• Identify flawed methods, calculation errors, unsupported assumptions, and gaps in documented rationale
• Provide written feedback the research team uses to improve model behavior

  You're a Good Fit If You

  • Have 2+ years of professional actuarial experience (any practice area)
  • Understand how methods, assumptions, and data drive pricing, reserves, and valuation
  • Can select an appropriate method, run the analysis, and articulate a defensible conclusion with a documented rationale
  • Demonstrate excellent quantitative analysis, balanced judgment, and high attention to detail
  • Can distinguish actuarial analysis from underwriting decisions and from formal financial or legal advice

  Bonus Qualifications

  • ASA, FSA, ACAS, FCAS, CERA, MAAA, or comparable credential (or actively passing exams)
  • Experience across multiple practice areas or specialty lines
  • Reinsurance, capital modeling, or enterprise risk experience
  • Proficiency with R, Python, SAS, SQL, or actuarial software (Prophet, Emblem, Radar, ResQ)
  • Experience with regulatory filings, rate filings, or statements of actuarial opinion

  Role Highlights

  • Minimum 20 hours per week (ideally 40+)
  • Role starts immediately, applications reviewed on a rolling basis