Senior Actuary for AI Insurance Benchmarking

Obsidian

New York (NY)

Hybrid

USD 180,000 - 240,000

Full time

14 days+
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Job summary

Cincinnatus LLC is hiring a senior insurance and actuarial domain expert to work with a leading AI lab's research and program management teams, crafting instruction specs, golden solutions, and benchmarks for frontier AI models in insurance. This hybrid Bay Area role requires on-site collaboration with the client's teams several days per week.

The role demands 4+ years of deep insurance experience, actuarial credentials or license, and strong AI fluency to translate expertise into explicit

Qualifications

  • Actuarial credentials (FSA/ASA/FCAS/ACAS) or an active state license in adjusting, underwriting, or broking.
  • 4+ years of substantive insurance experience at a carrier, reinsurer, broker, adjusting firm, or regulator.
  • Genuine specialization in at least one insurance domain area (life, P&C, health, etc.).
  • Clear senior-level progression with ownership of a book, reserve, or claims portfolio.
  • Hands-on experience using large language models in professional work.
  • Able to commit reliably to 40 hours per week for an initial engagement of 6 months.

Responsibilities

  • Data QA and reviews: Vet insurance knowledge tasks and model outputs for accuracy and professional scrutiny.
  • Instruction specs and golden datasets: Write specs and solutions defining correct outcomes.
  • Benchmarks and domain depth: Design challenging tasks and evaluation sets with domain tools.
  • Calibration: Align standards with client researchers and translate judgment into teachable criteria.

Skills

AI fluency
Availability 40h/wk

Education

Actuarial credential or state license

Job description

Cincinnatus LLC is hiring a senior insurance and actuarial domain expert to work with a leading AI lab's research and program management teams, crafting instruction specs, golden solutions, and benchmarks for frontier AI models in insurance. This hybrid Bay Area role requires on-site collaboration with the client's teams several days per week.

The role demands 4+ years of deep insurance experience, actuarial credentials or license, and strong AI fluency to translate expertise into explicit

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