The work
Create realistic insurance questions and case studies, then assess whether AI responses are accurate, complete, and consistent with insurance practices. You will also give detailed feedback to improve model responses and training content.
- Develop scenarios covering underwriting, claims decisions, policy interpretation, risk assessment, regulatory compliance, and actuarial principles.
- Work with insurance and technical specialists to set question difficulty and keep the material challenging and useful.
What it pays and takes
- Pay: $80 per hour.
- Time: At least 20 hours per week, with a flexible, asynchronous schedule.
- Location: Remote; applicants must be based in a country supported for this role.
- Work arrangement: Part-time contract.
- Language: Professional fluency in English.
- Education: A bachelor's degree in risk management, finance, business, or a related field, or equivalent professional experience.
- Experience: Professional experience in insurance operations, underwriting, claims management, or risk assessment.
- Skills: Strong knowledge of insurance products, industry practices, and real-world risk decisions, plus excellent analytical, written, and verbal communication skills and close attention to detail.
- Helpful background: Experience in multiple insurance lines, such as property and casualty, life and health, or commercial insurance; insurance publications, regulatory work, insurtech, or designations such as CPCU, CLU, ChFC, ARM, or AINS; and familiarity with technology-driven insurance applications.
How it works
Apply on OpenTrain with your resume, then complete the application on the hiring site.
About AI training work
OpenTrain is a free platform where people can find AI-training work, build a profile, and apply. AI training is the human work of creating and reviewing examples that help AI systems learn, and insurance expertise helps assess whether model responses reflect accurate, practical knowledge.