Insurance Domain Expert (Subject Matter Expert)
Confidential
Posted: January 30, 2026
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Quick Summary
An experienced Insurance Domain Expert will be required to evaluate, validate, and improve AI models across core insurance processes, applying deep insurance domain expertise to support a next-generation Generative AI and advanced analytics initiative.
Required Skills
Job Description
Work Location: US – Remote
Engagement Model: Freelancer / Independent Contractor
Start Date: ASAP
Qualification Requirements:
• Successful completion of a role-specific written assessment
• Successful completion of a background check
About the Role
DataForce by TransPerfect is seeking an experienced Insurance Subject Matter Expert (SME) to support a next-generation Generative AI and advanced analytics initiative focused on insurance use cases. In this role, you will apply your deep insurance domain expertise to evaluate, validate, and improve AI models across core insurance processes. You will help ensure that AI-driven solutions are accurate, explainable, compliant, and aligned with real-world insurance operations, regulatory requirements, and customer experience standards.
This role is ideal for insurance professionals with hands-on industry experience who are interested in applying AI and data-driven solutions to underwriting, claims, and policy administration.
Key Responsibilities
AI Model Evaluation & Domain Validation
• Collaborate with AI, data science, and product teams to evaluate AI models used in:
• Underwriting and risk assessment
• Claims intake, adjudication, and fraud detection
• Pricing and rating optimization
• Policy administration and lifecycle management
• Validate AI-generated outputs against real-world insurance practices, regulatory frameworks, and compliance standards.
• Identify gaps, biases, limitations, and edge cases in model behavior and provide actionable domain-driven recommendations.
Workflow Definition & Success Metrics
• Define core insurance workflows and decision processes to ensure AI models reflect industry-standard practices.
• Establish key performance metrics and success criteria to measure:
• Model accuracy and reliability
• Business relevance and operational impact
• Regulatory and compliance alignment
• Support the design of explainable AI frameworks to improve transparency, auditability, and trust in AI-driven insurance decisions.
Data Annotation & Prompt Design
• Provide insurance-specific context to support high-quality data labeling and annotation.
• Contribute to the design of prompts, rubrics, and evaluation frameworks for LLM-based insurance applications.
• Collaborate with engineering teams on AI/ML-driven product development related to:
• Claims processing systems
• Underwriting platforms
• Policy administration solutions
Industry Expertise & Continuous Improvement
• Stay current with insurance regulations, compliance requirements, and industry best practices.
• Monitor emerging AI applications and innovations in the insurance sector.
• Share insights and recommendations to continuously improve AI capabilities and business outcomes.