Insurance Specialist- AI Data operations

About the job

Are you an insurance expert who knows the inside of a policy like the back of your hand — and wants to help shape how AI understands underwriting, claims, pricing, and risk?

This is your chance to influence the future of AI-powered insurance systems.

We’re looking for a seasoned Insurance Subject Matter Expert (SME) with deep experience in claims, underwriting, or actuarial workflows to evaluate, guide, and enhance AI and LLM-driven models powering next-generation insurance operations.

⭐ Preferred Candidate Background (Priority Companies)

We’re especially interested in candidates with experience at leading US insurers, including:

UnitedHealth Group • CVS Health (Aetna) • Elevance Health • Centene • The Cigna Group • Progressive • Allstate • Travelers • MetLife • Prudential Financial

If these companies shaped your career — we definitely want to work with you.

🔍 What You’ll Do

AI Evaluation & Optimization

• Evaluate AI and LLM-based models used in underwriting, claims processing, risk assessment, and pricing.
• Identify gaps, biases, edge cases, and limitations using real-world insurance logic.
• Partner with AI, data science, and product teams to improve model accuracy, reliability, and compliance.
• Assess AI impact on policy retention, renewals, loss ratios, and customer experience.

Validation Against Industry Standards

• Ensure AI outputs align with insurance best practices, regulatory requirements, and market realities.
• Define and apply evaluation rubrics and scoring frameworks for model performance.
• Validate outputs against underwriting rules, claims workflows, and risk KPIs.

Data Labeling & Contextualization

• Provide insurance domain expertise to support data annotation and labeling efforts.
• Review and contextualize datasets involving:
• Claims scenarios
• Underwriting criteria
• Policy language
• Risk variables and pricing factors

Prompt Engineering & LLM Guidance

• Collaborate on prompt design and refinement to improve LLM accuracy and reasoning.
• Help reduce hallucinations and ensure AI responses are insurance-safe and regulation-aware.
• Translate complex insurance concepts into clear AI instructions and evaluation criteria.

Explainable AI & Transparency

• Support explainable AI initiatives to ensure model decisions are auditable, transparent, and trustworthy.
• Help stakeholders understand why models behave the way they do.

Regulatory & Market Awareness

• Stay current with evolving insurance regulations, compliance standards, and AI innovations.
• Flag regulatory, financial, or customer-risk implications of AI outputs.

🎓 What We’re Looking For

• Bachelor’s or Master’s degree in Insurance, Risk Management, Actuarial Science, Business, or a related field.
• 7+ years of hands-on insurance experience in one or more of the following:
• ✔ Underwriting
• ✔ Claims
• ✔ Actuarial / Risk Modeling
• ✔ Insurance Product Management
• Strong understanding of policy structures, rating variables, claims lifecycle, and regulatory frameworks.
• Experience collaborating with cross-functional tech teams (AI, data science, engineering, product).

⭐ Preferred (Highly Valued)

• Exposure to AI/ML or LLM-based systems (evaluation, testing, annotation, or validation).
• Experience defining rubrics, scoring frameworks, or QA standards.
• Familiarity with prompt engineering or human-in-the-loop AI evaluation.
• Ability to apply expert judgment to determine whether AI outputs are safe for real insurance decisions.

🚀 Why This Role?

• Influence how AI understands insurance, not just how it processes data.
• Apply your insurance expertise at the cutting edge of AI innovation.
• Work at the intersection of domain knowledge, technology, and decision-making.

📩 Apply now and help build the next generation of AI-powered insurance intelligence.

E- sajid@truelancer.com