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Self-Pay Collections Leader Remote

Mercor


Job Location:

San Francisco, CA - USA

Monthly Salary: Not provided by the employer
Posted: 2 July 2026 (30+ days ago)
Application Deadline: 29 September 2026
Vacancies: 1 Vacancy

Job Summary

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 DAngelo Larry Summers and Jack Dorsey.

Position: Patient Financial Services Leader
Type: Contract
Compensation: $92/hour
Location: Remote

Role Responsibilities

  • Lead patient collections and self-pay operations including early-out collections and bad debt management.
  • Evaluate AI-generated patient financial communication drafts and self-pay resolution strategies for accuracy.
  • Develop and implement self-pay collection strategies across the revenue cycle.
  • Manage patient payment plan enrollment monitoring and compliance processes.
  • Coordinate with financial counseling billing and bad debt recovery teams to optimize self-pay revenue capture.
  • Monitor self-pay KPIs including collection rates and patient satisfaction scores.
  • Ensure compliance with FDCPA HIPAA state collections laws and internal policies.
  • Oversee relationships with collection agencies and early-out vendors.
  • Annotate AI outputs and provide structured feedback to support AI training datasets.

Qualifications

Must-Have

  • 5 years of experience in patient collections self-pay revenue cycle or patient financial services.
  • At least 2 years in a leadership role.
  • Deep knowledge of self-pay collection workflows and FDCPA compliance.
  • Experience managing early-out and bad debt collection programs.
  • 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.

Preferred

  • CRCR CHAM or similar revenue cycle certification.
  • Experience with digital patient payment platforms.
  • Background in hospital health system or physician group patient financial services.
  • Familiarity with AI tools and comfort evaluating AI-generated content.
  • Experience implementing propensity-to-pay analytics.

Application Process (Takes 2030 mins to complete)

  • Upload resume
  • AI interview based on your resume
  • Submit form

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