Verified Mercor opportunity
Mercor is working with a leading AI research lab to improve the capabilities of next-generation AI systems. We are seeking experienced A/R Follow-Up Managers to evaluate AI tools designed to automate accounts receivable follow-up and payer collections workflows. Your expertise in claim status follow-up, payer correspondence, and A/R management will directly inform AI systems that reduce days in accounts receivable and improve revenue recovery. — Responsibilities • Lead A/R follow-up operations across commercial, Medicare, Medicaid, and managed care payers, ensuring 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. • Prioritise A/R queues by ageing bucket, payer, and dollar value to maximise revenue recovery. • Identify and resolve claim payment discrepancies, payer processing errors, and underpayments. • Monitor A/R KPIs including days in A/R, ageing 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. — Requirements • 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 prioritising 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 Qualifications • 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. — 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 accounts receivable and revenue cycle management. • Opportunity to work on high-impact projects shaping the future of healthcare AI.