Insurance Expert - AI Training & Evaluation

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 assignments independently and consistently deliver high-quality work within agreed deadlines.
Interest in artificial intelligence: Curiosity about how AI is transforming insurance operations and a desire to contribute professional expertise to the development of more reliable AI systems.
Remote collaboration: Ability to work independently in a remote environment, respond constructively to feedback, and maintain consistent quality standards.
Benefits:
Competitive compensation: Earn ₹20,000–25,000 per task, with compensation reflecting the depth, accuracy, and quality of your work rather than hours logged.
Fully remote work: Complete assignments from anywhere in India.
Flexible schedule: Work around your existing full-time role or other professional commitments, with no fixed working days.
Project-based contract: Participate in a task-based engagement that offers flexibility without a traditional daily work schedule.
Exposure to advanced AI: Gain firsthand insight into how sophisticated AI models are trained and evaluated for insurance-related applications.
Meaningful industry impact: Use your insurance expertise to improve AI accuracy in underwriting, risk assessment, policy interpretation, and claims adjudication.
Intellectually challenging assignments: Work on realistic, complex insurance scenarios that require professional judgment rather than repetitive administrative processing.
Performance-based growth opportunities: Become eligible for additional assignments and larger projects based on the quality and consistency of your work.
Collaborative environment: Contribute to a fast-moving AI project focused on developing and evaluating high-quality training data and model outputs.