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About the Role
Mercor is working with a leading AI research lab to improve the capabilities of next-generation AI systems. We are seeking experienced Revenue Cycle Executives - including VP of Revenue Cycle, Sr. Director of Revenue Cycle, and RCM-focused finance leaders - to evaluate AI tools designed to transform end-to-end revenue cycle performance. Your strategic expertise in revenue cycle operations, payer contracting, financial performance management, and team leadership will directly shape AI systems that drive sustainable financial improvement across h
What You'll Do
Provide executive-level oversight and strategic direction for end-to-end revenue cycle operations, including patient access, coding, billing, denials, and collections.
Evaluate AI-generated revenue cycle performance analyses, strategic recommendations, and operational improvement plans for accuracy and feasibility.
Assess AI tools designed to automate revenue cycle workflows, identify revenue leakage, and optimise payer reimbursement.
Define and monitor enterprise revenue cycle KPIs, including net collection rate, days in A/R, denial rate, cost-to-collect, and cash collections performance.
Independent contractor engagement, fully remote. Mercor pays weekly via Stripe or Wise.
Common Questions
Mercor has a reliability rating of very reliable based on the listings we track, with an onboarding time of 1-3 weeks (interview + assessment + trial). See our full Mercor review for the details behind that rating.
Applying takes you to Mercor's own website, where the application is completed. We are not a recruiter or employer and do not process applications directly - we may be recorded as the referring source.
$162/h - Independent contractor engagement, fully remote. Mercor pays weekly via Stripe or Wise.
Provide executive-level oversight and strategic direction for end-to-end revenue cycle operations, including patient access, coding, billing, denials, and collections. Evaluate AI-generated revenue cycle performance analyses, strategic recommendations, and operational improvement plans for accuracy and feasibility. Assess AI tools designed to automate revenue cycle workflows, identify revenue leakage, and optimise payer reimbursement.
