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Claims Expert for AI Research Project

Aptura

Posted about 9 hours ago

About Aptura

Aptura works with leading foundational AI labs to bring institutional finance expertise directly into AI model development. Founded by ex-Lazard and Partners Group professionals, we operate from London and San Francisco.

The Opportunity

You’ve built deep expertise in insurance claims, investigations, coverage decisions, reserving, or claim resolution, and produced work that drives real decisions. Now that expertise has a new application: shaping how frontier AI models reason through complex insurance problems.

What you'll do

  • Design realistic claims tasks: claim intake, investigations, coverage determinations, reserve-setting decisions, and claim resolution scenarios.

  • Write evaluation rubrics that reflect how experienced claims professionals reason through coverage, liability, reserves, settlement decisions, and recovery opportunities.

  • Review AI-generated work and flag where models miss coverage issues, set inadequate reserves, mishandle investigations, or reach unsupported claim outcomes, explaining why it matters.

  • Build reference claim files and adjudication materials that set the benchmark models are tested.

  • Communicate claim decisions and rationale clearly in writing.

How Engagements Work

 

Fully remote, part-time, and flexible. Work is scoped by project and ranges from short engagements to ongoing collaborations, structured as a contract or a monthly retainer.

 

You May Be A Good Fit If:

  • 5–8+ years handling P&C claims — as an adjuster, examiner, claims specialist, or claims manager.

  • You’ve made coverage decisions, set reserves, or handled claim outcomes that had to withstand scrutiny.

  • AIC, CPCU, SCLA, or equivalent (preferred, not required).

  • You can explain why a claim resolves the way it does clearly enough to teach the reasoning, not just the outcome.

Compensation

 

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Job details

Workplace

Hybrid

Location

United Kingdom

Experience

SE

Salary

166k - 416k USD

per year

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