Revenue Cycle Specialist - Fully Remote | Upto $75/hr

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: A/R Follow-up Manager
Type: Contract
Compensation: $75/hour
Location: Remote
Role Responsibilities

- Lead A/R follow-up operations across commercial, Medicare , Medicaid , and managed care payers. Ensure timely resolution of outstanding claims.

- Evaluate AI-generated A/R follow-up recommendations , claim status inquiry outputs, and payer correspondence drafts for accuracy and effectiveness.

- Manage claim status follow-up workflows including electronic claim status inquiries ( 276/277 EDI ), payer portal follow-up, and phone-based resolution.

- Prioritize A/R queues by aging bucket, payer, and dollar value to maximize revenue recovery.

- Identify and resolve claim payment discrepancies, payer processing errors, and underpayments.

- Monitor A/R KPIs including days in A/R, aging bucket distribution, collection rates, and write-off rates.

- Develop and implement payer-specific follow-up strategies to accelerate claim resolution.

- Ensure compliance with FDCPA , HIPAA , and payer-specific follow-up and timely filing requirements.

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

Qualifications

Must-Have

- 5+ years of experience in A/R follow-up , payer collections, or revenue cycle operations, with at least 2 years in a management role.

- Deep knowledge of claim status follow-up workflows, EDI 276/277 transactions , and payer-specific collections processes.

- Strong understanding of Medicare , Medicaid , and commercial payer claims processing and payment timelines.

- Experience prioritizing and managing high-volume A/R queues across multiple payers.

- Proficiency with billing systems and A/R management platforms .

- Exceptional written and verbal English communication skills .

- High attention to detail with the ability to identify payment errors and discrepancies in AI-generated A/R content .

Preferred

- CRCR , CPC , or CHFP certification .

- Experience with RCM technology platforms featuring automated A/R follow-up capabilities.

- Background in multi-payer follow-up operations in hospital or physician group settings.

- Familiarity with AI tools and comfort evaluating AI-generated A/R follow-up content .

- Experience developing A/R reduction action plans and presenting performance to 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.

Originally posted on Himalayas