P&C Insurance Professionals: Paid AI Training Project

What We're Researching We're hiring P&C insurance and reinsurance professionals to help train the next generation of artificial intelligence models. This paid project focuses on capturing the complex decision-making processes involved in underwriting, pricing, and claims management. Your expertise will directly shape how AI systems understand and process specialized insurance workflows. How It Works You will turn real-world insurance scenarios into structured tasks used to train and test AI models. This involves documenting your approach to underwriting, reserving, or reinsurance work in a remote format. You will dedicate 20+ hours per week to creating and reviewing these specialized datasets. The work requires deep domain knowledge to ensure the AI learns accurate industry practices. Who This Is For We welcome property and casualty insurance professionals, reinsurance specialists, underwriters, and claims adjusters. You should have hands-on experience managing complex insurance workflows and a strong understanding of industry standards. Candidates with backgrounds in pricing, reserving, or risk assessment are highly encouraged to apply. What You'll Do Translate real-world insurance scenarios into structured training tasks Document complex underwriting, pricing, and claims workflows Review and validate AI-generated outputs for accuracy Commit 20+ hours per week to remote project work Who Should Apply Professional experience in P&C insurance or reinsurance Hands-on background in underwriting, pricing, reserving, or claims Comfortable breaking down complex industry workflows into clear steps Availability to dedicate 20+ hours per week to the project Compensation $100 per hour Ready to participate? Start your paid interview now About Terac Terac is building the world's largest pool of vetted human experts for AI. Researchers, AI labs, and product teams use Terac to recruit, screen, and pay study participants across industries, languages, and skill sets. Learn more at terac.com or on YouTube at @jointerac .