Patient Financial Services Leader

Mercor is working with a leading AI research lab to improve the capabilities of next-generation AI systems. We are seeking experienced Patient Collections and Patient Financial Services leaders to evaluate AI tools designed to improve self-pay revenue recovery and patient financial engagement. Your expertise in self-pay collections, payment plan administration, and patient financial advocacy will directly inform AI systems that optimise patient payment experiences while maximising revenue recovery.

Responsibilities

• Lead patient collections and self-pay operations including early-out collections, bad debt management, and patient payment plan administration.

• Evaluate AI-generated patient financial communication drafts, payment plan recommendations, and self-pay resolution strategies for accuracy and compliance.

• Develop and implement self-pay collection strategies across the revenue cycle, including pre-service, point-of-service, and post-service collections.

• Manage patient payment plan enrollment, monitoring, and compliance processes.

• Coordinate with financial counselling, billing, and bad debt recovery teams to optimise self-pay revenue capture.

• Monitor self-pay KPIs including self-pay collection rates, payment plan conversion rates, bad debt write-off rates, and patient satisfaction scores.

• Ensure compliance with FDCPA, HIPAA, state collections laws, and internal patient financial assistance policies.

• Oversee relationships with collection agencies and early-out vendors as applicable.

• Annotate AI outputs and provide structured feedback to support AI training datasets.

Requirements

• 5+ years of experience in patient collections, self-pay revenue cycle, or patient financial services, with at least 2 years in a leadership role.

• Deep knowledge of self-pay collection workflows, FDCPA compliance, and patient financial engagement best practices.

• Experience managing early-out and bad debt collection programs, including vendor oversight.

• Familiarity with propensity-to-pay tools and patient payment technology platforms.

• Proficiency with EHR systems and patient collections/billing platforms.

• Exceptional written and verbal English communication skills.

• High attention to detail with the ability to evaluate collections strategies and identify issues in AI-generated patient communication content.

Preferred Qualifications

• CRCR, CHAM, or similar revenue cycle certification.

• Experience with digital patient payment platforms and text/email-based collections outreach.

• Background in hospital, health system, or physician group patient financial services.

• Familiarity with AI tools and comfort evaluating AI-generated patient financial communication content.

• Experience implementing propensity-to-pay analytics to prioritise collection efforts.

Why Join?

• Contribute to the development of frontier AI systems in healthcare.

• Collaborate with a world-class AI research organisation.

• Gain exposure to cutting-edge AI workflows in patient financial services and the revenue cycle.

• Opportunity to work on high-impact projects shaping the future of healthcare AI.

We consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request.

Contract and Payment Terms

• You will be engaged as an independent contractor.
• This is a fully remote role that can be completed on your own schedule.
• Projects can be extended, shortened, or concluded early depending on needs and performance.
• Your work at Mercor will not involve access to confidential or proprietary information from any employer, client, or institution.
• Payments are weekly on Stripe or Wise based on services rendered.
• Please note: We are unable to support H1-B or STEM OPT candidates at this time.

About Mercor

Mercor partners with leading AI labs and enterprises to train frontier models using human expertise. You will work on projects that focus on training and enhancing AI systems. You will be paid competitively, collaborate with leading researchers, and help shape the next generation of AI systems in your area of expertise.