Insurance and Actuarial AI Training Expert
Use deep insurance or actuarial expertise to evaluate AI outputs, create gold-standard solutions, and build benchmark datasets. This Bay Area hybrid contract pays $60 to $100 per hour.
Posted Aug 28, 2026
Use at least three years of insurance experience to design realistic scenarios, evaluate AI-generated work, and improve insurance reasoning models. This remote U.S. contractor role pays $75 per hour and requires 20+ hours weekly.
Legal & Finance
$75/hr
Compensation
1 country
Eligibility
Entry
Experience
Sep 17, 2026
Posted
Open to applicants in
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.
Create a free OpenTrain account and build a profile that highlights your insurance experience, credentials, and areas of expertise. Apply through OpenTrain to be considered for this remote contractor opportunity.
If selected, you will contribute asynchronously to insurance AI training tasks while building experience in a fast-growing field that depends on knowledgeable human reviewers and subject-matter experts.
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