Insurance Specialist

Key Responsibilities

• Partner with research and engineering teams to improve AI understanding of insurance concepts, including underwriting, claims processing, risk assessment, and policy evaluation
• Design realistic, domain-specific insurance tasks and develop accurate, well-reasoned reference solutions based on industry best practices
• Evaluate AI-generated outputs against structured scoring rubrics, providing detailed written feedback on accuracy, reasoning, and professional judgment
• Develop, refine, and maintain evaluation guidelines and scoring criteria tailored to insurance-related tasks
• Collaborate with fellow subject-matter experts to ensure consistency, accuracy, and quality across AI training and evaluation datasets

Core Qualifications

• 8+ years of professional experience in the insurance industry, including areas such as underwriting, claims, actuarial science, or enterprise risk management within a leading insurance organization
• Demonstrated hands-on experience evaluating LLM or AI-generated outputs using structured rubrics or formal scoring frameworks
• Candidates should clearly describe this experience as part of their application
• Proven career progression demonstrating increasing responsibility and subject-matter expertise (for example, Underwriter → Senior Underwriter → Underwriting Manager or similar leadership progression)
• Able to commit reliably to 35 or more hours per week during standard weekdays
• Excellent verbal and written communication skills, analytical thinking, problem-solving ability, and collaboration skills

Preferred Qualifications

• Experience designing evaluation rubrics, quality assurance frameworks, or assessment methodologies
• Familiarity with AI training, model evaluation, human-feedback workflows, or data annotation projects
• Expertise in multiple insurance disciplines, including commercial or personal lines, property and casualty, life and health, reinsurance, actuarial modeling, or enterprise risk management