Insurance Experts in India at Jobgether

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for an Insurance Expert based in India.

This is an opportunity for an experienced insurance professional to apply deep industry expertise to the evaluation and improvement of AI systems.
You will help design realistic enterprise insurance scenarios reflecting the complexity of large-scale carriers and reinsurers.
The role spans underwriting, claims, actuarial pricing, reinsurance, risk management, and regulatory compliance.
You will create expert-level tasks, reference guidelines, and evaluation rubrics grounded in real-world insurance practices.
Your insights will help distinguish genuine insurance judgment from surface-level or textbook responses.
You will work closely with AI-focused teams in a flexible, remote, and largely asynchronous environment.
This role is ideal for professionals who want to use their insurance expertise to influence the quality and reliability of next-generation AI systems.

• Design complex enterprise insurance scenarios covering commercial underwriting, claims adjudication, risk assessment, regulatory compliance, and other large-scale insurance workflows.
• Develop evaluation tasks across underwriting, actuarial pricing, claims management, reinsurance strategy, risk management, and regulatory affairs.
• Create realistic scenarios using industry tools and platforms such as Guidewire, Duck Creek, SAS, R, and actuarial modeling systems.
• Apply established insurance methodologies, including actuarial risk modeling, loss reserving, and enterprise risk management (ERM), to develop high-quality reference materials and risk narratives.
• Create detailed grading rubrics that accurately distinguish expert insurance judgment from generic or theoretical responses.
• Apply practical knowledge of enterprise insurance operations, regulatory requirements, and reinsurance practices when evaluating AI-generated outputs.
• Collaborate with AI research teams to improve training data, evaluation quality, and model performance.
• Work independently and asynchronously while maintaining accuracy, consistency, and deadlines.

• 5+ years of professional experience in underwriting, claims, actuarial functions, risk management, or a closely related insurance discipline.
• Experience working at a Fortune 500 insurance carrier or reinsurer, with exposure to large-scale enterprise insurance operations.
• Direct ownership or significant responsibility for large underwriting portfolios, claims operations, actuarial pricing models, or comparable insurance functions.
• Strong understanding of enterprise insurance methodologies, including risk modeling, loss reserving, underwriting practices, claims processes, and enterprise risk management.
• Familiarity with insurance technology and analytical platforms such as Guidewire, Duck Creek, SAS, R, or comparable enterprise tools.
• Strong knowledge of regulatory compliance requirements and reinsurance practices within complex insurance environments.
• Ability to translate practical insurance expertise into structured scenarios, guidelines, and evaluation criteria.
• Strong analytical, written communication, and critical-thinking skills, with the ability to make consistent and defensible professional judgments.
• Experience creating rubrics, actuarial or underwriting training materials, claims documentation, or similar professional content is preferred.

• Competitive contract compensation of $50–$60 per hour.
• Fully remote opportunity, allowing you to work from India.
• Flexible, asynchronous working environment.
• Opportunity to apply specialized insurance expertise to the development and evaluation of advanced AI systems.
• Exposure to complex enterprise-level insurance scenarios spanning underwriting, actuarial, claims, risk, reinsurance, and regulatory functions.
• Opportunity to collaborate with AI research teams and contribute to improving the quality and reliability of AI models.
• Contract engagement with the potential for projects to evolve based on business and project needs.
• Application process designed to be completed in approximately 20–30 minutes.