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OpenTrain AI is seeking insurance professionals with at least three years of experience to help build AI systems that reason about real insurance work. This remote contractor role is for the United States, offering 20+ hours per week at a rate of $75 per hour.
You will translate professional workflows into realistic scenarios, review AI outputs for accuracy, and provide structured feedback to improve model performance, with asynchronous collaboration.
OpenTrain is the #1 platform for finding and building careers in AI training and data labeling. OpenTrain AI is hiring and contracting insurance professionals to help shape how advanced AI systems understand real-world insurance work.
Create a free OpenTrain account to build a professional AI training profile, discover relevant opportunities, and apply in minutes. Your work can become part of a lasting portfolio focused on specialized AI expertise.
AI training is the human side of building artificial intelligence. Professionals prepare examples, review model responses, and provide structured feedback so AI systems can produce more accurate and useful results.
In this role, your insurance judgment will help AI systems reason through workflows, coverage questions, risk decisions, claims, and other complex professional scenarios.
OpenTrain is seeking insurance professionals with at least three years of experience to help build AI systems that reason about real insurance work. The role welcomes backgrounds in underwriting, claims, actuarial work, risk management, brokerage, compliance, reinsurance, and policy or product functions.
You will translate professional workflows, judgment, and decision-making into realistic scenarios, structured examples, and high-quality written feedback. This is remote contractor work for people located in the United States, with asynchronous collaboration.
You will create and evaluate text-based insurance training data. Your work will require careful judgment, strong written communication, and the ability to explain why an insurance response is accurate, appropriate, or deficient.
Candidates must have at least three years of professional insurance experience in underwriting, claims, actuarial work, risk management, brokerage, compliance, reinsurance, or a related area. Practical understanding of insurance workflows, professional judgment, standards, and decision-making in a carrier, broker, reinsurer, advisory, or related setting is required.
Relevant credentials, licenses, and technical experience can help you apply your expertise to AI evaluation work. Experience with specialized insurance analysis is especially valuable.