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Role Overview\n\nMercor is partnering with leading AI labs to engage experienced health insurance professionals — benefits administrators, underwriters, claims managers, actuaries, and compliance specialists — to improve AI systems' reasoning around coverage determination, utilization management, and plan design. Contributors will apply their expertise in areas such as commercial group and individual plans, government programs (Medicare, Medicaid, ACA marketplace), prior authorization workflows, and insurance regulation to evaluate and enhance AI performance on health insurance-specific tasks. This is a project-based opportunity with potential for ongoing engagement depending on performance and project needs.\n\n**
\n\n- Review and evaluate AI-generated outputs related to plan benefit design, coverage determination, claims adjudication, and medical necessity criteria\n \n- Create realistic scenarios based on health insurance workflows — prior authorization decisions, explanation of benefits reviews, formulary exceptions, network adequacy assessments, and regulatory audits\n \n- Annotate, label, and validate data across health insurance use cases (e.g., ICD coding accuracy, payer policy interpretation, managed care utilization review)\n \n- Provide structured feedback on AI accuracy in areas such as federal and state insurance regulations (ACA, ERISA, HIPAA, CMS guidelines), payer contracting, and industry-specific terminology\n \n- Collaborate asynchronously with research teams to refine evaluation frameworks for health insurance AI\n \n\nIdeal Qualifications**\n\n- 3+ years of professional experience at a health plan, benefits administrator, TPA, PBM, or managed care organization\n \n- Background in one or more areas such as:
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