Insurance Specialist

• Job Description
• Job Summary: In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.

Key Responsibilities

• Train, review, and refine AI models by providing expert insights into risk assessment and underwriting processes.
• Analyze insurance documents, policies, and client scenarios to ensure accuracy and industry alignment within AI-generated responses.
• Advise on regulatory requirements, maintaining up-to-date compliance standards for AI training datasets.
• Collaborate with interdisciplinary teams to identify knowledge gaps and enhance AI understanding of insurance workflows.
• Develop clear, detailed written and verbal feedback to facilitate knowledge transfer between subject matter experts and technical teams.
• Assess evolving insurance trends to ensure AI models reflect current best practices and industry shifts.
• Contribute to the creation of educational materials and advisory content for ongoing model improvement.

Required Skills and Qualifications

• Expertise in risk assessment, underwriting, and insurance policy analysis.
• Strong command of regulatory guidelines and compliance frameworks across various insurance sectors.
• Exceptional written and verbal communication skills, with a keen ability to articulate complex concepts precisely.
• Demonstrated analytical thinking and attention to detail in evaluating insurance documents and client needs.
• Client advisory experience, enabling you to translate real-world challenges into actionable AI training data.
• Proficient in cross-functional collaboration within digital or AI-driven projects.
• Self-motivated, disciplined, and able to manage tasks autonomously in a remote environment.

Preferred Qualifications

• Prior experience in AI model development, data labeling, or insurance technology projects.
• Advanced certifications in insurance or risk management.
• Proven track record of process improvement and digital transformation in insurance operations.