Insurance Expert - AI Training & Evaluation

This position is listed on behalf of a partner company, which manages all applications and next steps. Our partner is looking for an Insurance Expert – AI Training & Evaluation based in India. We are seeking experienced insurance professionals to help train and evaluate advanced artificial intelligence models designed for insurance-related applications. In this project-based role, you will develop complex underwriting and claims scenarios, assess AI-generated decisions, and ensure that outputs meet rigorous industry standards. Your expertise will help identify errors in risk assessment, policy interpretation, coverage determination, and claims adjudication. You will contribute to improving the accuracy, reliability, and practical value of AI systems used in insurance operations. This opportunity is ideal for analytical professionals who enjoy solving challenging insurance cases and applying sound judgment to complex situations. With remote work, flexible scheduling, and task-based compensation, you can contribute your industry knowledge alongside your existing professional commitments.

Accountabilities

• Design complex underwriting scenarios involving insurance applications, risk profiles, eligibility assessments, and pricing decisions, supported by clear and defensible reference answers.
• Develop realistic claims assessment cases involving coverage determination, policy interpretation, exclusions, endorsements, and potential fraud indicators.
• Evaluate AI-generated underwriting recommendations and claims decisions, assessing their accuracy, reasoning, completeness, and consistency with insurance principles.
• Identify errors in risk classification, pricing assessments, policy wording interpretation, coverage decisions, and claims adjudication.
• Detect overlooked exclusions, misunderstood policy conditions, unsupported conclusions, and decisions that appear reasonable but are technically incorrect.
• Prepare detailed, evidence-based explanations of evaluation results, clarifying why a decision is correct or incorrect and outlining the appropriate reasoning.
• Apply practical insurance judgment to complex or ambiguous scenarios, similar to those handled by experienced underwriters, claims assessors, and risk specialists.
• Work across relevant insurance lines, including life, health, general, and specialty insurance, depending on your expertise.
• Maintain high standards of precision, consistency, and professional rigor across all submitted tasks.
• Incorporate feedback, meet agreed deadlines, and contribute to improving the quality of AI training and evaluation processes.
• Help enhance the reliability and effectiveness of AI models used for insurance risk assessment, underwriting, and claims management.

Requirements

• Professional experience: At least 3 years of hands-on experience in underwriting, claims management, risk assessment, or a closely related insurance role.
• Insurance domain expertise: Strong practical knowledge of one or more insurance segments, including life, health, general, or specialty insurance.
• Underwriting and risk assessment: Demonstrated understanding of risk evaluation, risk classification, eligibility decisions, pricing methodologies, and underwriting principles.
• Claims assessment: Experience evaluating insurance claims, determining coverage, interpreting policy provisions, and supporting or making adjudication decisions.
• Policy interpretation: Ability to closely analyze policy wording, including conditions, exclusions, endorsements, and coverage limitations, and understand their practical implications.
• Analytical reasoning: Strong ability to break down complex insurance scenarios, weigh relevant evidence, identify inconsistencies, and reach defensible conclusions.
• Attention to detail: A rigorous approach to identifying subtle errors, overlooked exceptions, incorrect assumptions, and unsupported decisions.
• Written communication: Excellent writing skills, with the ability to explain technical insurance judgments clearly, precisely, and without unnecessary elaboration.
• Critical evaluation: Ability to distinguish sound insurance reasoning from plausible-sounding but inaccurate conclusions, including those generated by AI systems.
• Independent judgment: Confidence in making evidence-based assessments and explaining the rationale behind underwriting and claims decisions.
• Reliability and time management: Ability to manage flexible, task-based assignmen…