Posted
04 Aug 2026
Last seen
04 Aug 2026
Location
United States
Lifecycle
mature
Grade
C
About the jobMercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.Position: Health Insurance ExpertType:ContractCompensation:$1,150–$1,450 per completed taskLocation:RemoteRole Responsibilities
Review and evaluate AI-generated outputs related to plan benefit design, coverage determination, claims adjudication, and medical necessity criteria.
Create realistic scenarios based on health insurance workflows, including prior authorization decisions and regulatory audits.
Annotate, label, and validate data across health insurance use cases, such as ICD coding accuracy and payer policy interpretation.
Provide structured feedback on AI accuracy in federal and state insurance regulations, payer contracting, and industry-specific terminology.
Collaborate asynchronously with research teams to refine evaluation frameworks for health insurance AI.
QualificationsMust-Have
3+ years of professional experience at a health plan, benefits administrator, TPA, PBM, or managed care organization.
Background in claims processing, medical underwriting, utilization management, benefits administration, or regulatory compliance.
Strong analytical thinking and ability to translate health plan workflows into structured evaluation tasks.
Clear written communication and attention to detail.
PreferredProfessional designations such as CEBS, AHIP, HIAA, or Fellow/ASA actuarial credentials.Compensation & Legal
Task Completion Pay: Competitive and based on task quality.
Performance Bonus: Weekly bonus incentive for top performers.
Hourly Opportunity: Transition to an hourly compensation model for sustained quality and throughput.
Application Process (Takes 20–30 mins to complete)
Upload resume
AI interview based on your resume
Submit form
Resources & Support
For details about the interview process and platform information, please check:
For any help or support, reach out to:
PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.Originally posted on Himalayas
Review and evaluate AI-generated outputs related to plan benefit design, coverage determination, claims adjudication, and medical necessity criteria.
Create realistic scenarios based on health insurance workflows, including prior authorization decisions and regulatory audits.
Annotate, label, and validate data across health insurance use cases, such as ICD coding accuracy and payer policy interpretation.
Provide structured feedback on AI accuracy in federal and state insurance regulations, payer contracting, and industry-specific terminology.
Collaborate asynchronously with research teams to refine evaluation frameworks for health insurance AI.
QualificationsMust-Have
3+ years of professional experience at a health plan, benefits administrator, TPA, PBM, or managed care organization.
Background in claims processing, medical underwriting, utilization management, benefits administration, or regulatory compliance.
Strong analytical thinking and ability to translate health plan workflows into structured evaluation tasks.
Clear written communication and attention to detail.
PreferredProfessional designations such as CEBS, AHIP, HIAA, or Fellow/ASA actuarial credentials.Compensation & Legal
Task Completion Pay: Competitive and based on task quality.
Performance Bonus: Weekly bonus incentive for top performers.
Hourly Opportunity: Transition to an hourly compensation model for sustained quality and throughput.
Application Process (Takes 20–30 mins to complete)
Upload resume
AI interview based on your resume
Submit form
Resources & Support
For details about the interview process and platform information, please check:
For any help or support, reach out to:
PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.Originally posted on Himalayas