Medical Billing Specialist (DME) required for AI Project - (India)
Mentis
We are seeking experienced medical billers to review and assess AI-generated outputs related to durable medical equipment (DME) billing, with a focus on claim lifecycles, payer rules, documentation sufficiency, and denials/appeals handling.
You will work asynchronously on a dedicated review platform, performing short, structured evaluations to help train and refine AI models to support DME revenue cycle workflows.
This is a remote, flexible and short term project (~2-3 months)
Key Responsibilities:
- Reviews & Issue Identification: Perform structured reviews of AI outputs, assessing intake, eligibility/benefits, prior authorisations, coding, submission, payment posting - flagging errors, omissions and compliance risks.
- DME Documentation Validation: Verify presence and adequacy of physician orders, proof of delivery, same/similar checks, rental vs. purchase documentation and medical necessity.
- Payer Rules & Lifecycle Checks: Validate payer rules, frequency limits, coverage determinations, timely filing and claim readiness.
- Denials & Appeals Assessment: Classify denial reasons, propose corrective actions, assemble needed supporting documents, and outline appropriate reconsideration/appeal pathways and resubmission strategies.
- Feedback & Continuous Improvement: Provide clear, actionable feedback to refine guidelines, identify edge cases and improve AI-assisted decisioning and mapping.
Qualifications:
- DME billing experience: Minimum 2 years of experience.
- Knowledge: Strong understanding of claim lifecycles, DME documentation, payer rules, denials and appeals.
- Attention to detail: Proven track record of accuracy and consistency in medical billing.
- Technical proficiency: Comfortable using structured data labeling tools and digital platforms.
- Language: Professional working English proficiency for written deliverables.
Legal Status
- You will have the right to work in your country of residence.
- You will work as an independent contractor.
Why Join Us?
- Flexible Work Arrangements: Part-time and remote work options available.
- Competitive Compensation: Hourly compensation in line with level of experience.
- Professional Development: Gain hands-on experience in data labelling, AI model fine-tuning and contributing to the future of medical billing.
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