About the job

Mercor 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: Insurance Verification & Benefit Manager Type:Contract Compensation:$105/hour Location:Remote

Role Responsibilities

• Oversee insurance verification, eligibility determination, and benefits investigation workflows across commercial, Medicare, Medicaid, and managed care payers.
• Verify patient insurance coverage using payer portals, clearinghouses, and EDI 270/271 real-time eligibility transactions.
• Identify and resolve coordination of benefits issues, coverage gaps, and eligibility discrepancies prior to service delivery.
• Evaluate and annotate AI-generated eligibility verification outputs for accuracy, completeness, and payer compliance.
• Develop and document SOPs for eligibility and benefits verification workflows.
• Monitor KPIs including verification accuracy rates, front-end denial rates related to eligibility, and turnaround times.
• Ensure compliance with payer-specific requirements, CMS guidelines, and HIPAA regulations.
• Identify process gaps and recommend workflow improvements to reduce eligibility-related claim denials.
• Provide structured feedback and annotations to support AI training datasets.

Qualifications

Must-Have

• 5+ years of experience in insurance verification, eligibility and benefits management, or front-end revenue cycle operations, with at least 2 years in a management role.
• Expert knowledge of EDI 270/271 transactions, payer portal navigation, and real-time eligibility tools.
• Strong familiarity with Medicare, Medicaid, and commercial payer eligibility requirements and benefit structures.
• Proficiency with Epic, Cerner, Meditech, or equivalent EHR platforms.
• Experience with clearinghouse platforms such as Availity, Change Healthcare, or similar.
• Exceptional written and verbal English communication skills.
• High attention to detail with the ability to identify subtle discrepancies in coverage data.

Preferred

• CHAM, CHAA, or equivalent front-end revenue cycle certification.
• Experience with automated eligibility verification tools and RPA solutions.
• Background in denial root cause analysis related to eligibility and coverage errors.
• Familiarity with AI tools and comfort evaluating AI-generated healthcare content.
• Experience presenting eligibility performance data to senior leadership.

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.

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