Accounts Receivable Follow-Up Manager for AI Evaluation

Lead and operate high-volume accounts receivable follow-up across Medicare, Medicaid, commercial, and managed care payers, while evaluating and improving AI tools that automate payer collections workflows. This role combines hands-on A/R management, payer correspondence, and claim status follow-up with structured review and annotation of AI-generated recommendations to reduce days in A/R and increase revenue recovery.

• Manage end-to-end A/R follow-up across commercial, Medicare, Medicaid, and managed care payers to resolve outstanding claims promptly.
• Evaluate AI-generated A/R follow-up recommendations, claim status inquiry outputs, and payer correspondence drafts for accuracy and practical effectiveness.
• Operate claim status follow-up workflows, including electronic claim status inquiries using EDI 276/277 transactions, 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 payment discrepancies, payer processing errors, and underpayments.
• Monitor and report A/R performance metrics, 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, payer-specific follow-up rules, and timely filing requirements.
• Annotate AI outputs and provide structured, actionable feedback to support the creation and improvement of AI training datasets.

• Minimum 5 years of experience in A/R follow-up, payer collections, or revenue cycle operations, including at least 2 years in a management role.
• Deep knowledge of claim status follow-up workflows and payer-specific collections processes.
• Experience working with EDI 276/277 transactions and electronic claim status inquiry processes.
• Solid understanding of Medicare, Medicaid, and commercial payer claims processing and payment timelines.
• Proven ability to prioritize and manage 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.

• CRCR, CPC, or CHFP certification.
• Experience with revenue cycle management technology that includes automated A/R follow-up capabilities.
• Background in multi-payer follow-up operations within 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.

• Location: Remote.
• Employment type: Hourly.

• Rate: 75 hourly.

• Strong English language proficiency required, including written and verbal communication.