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mercor

Self-Pay Collections Leader - Remote | Upto $92/hr

Remote — United States (see country and timezone requirements)

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Job description

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: 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 20–30 mins to complete)

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Originally posted on Himalayas

Who can apply

Eligible countries: United States. Accepted UTC offsets: UTC-10, UTC-9, UTC-8, UTC-7, UTC-6, UTC-5, UTC+14. Review the full description for employer-specific work authorization, residency and schedule requirements.

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