Inpatient Clinical Documentation Reviewer (MD/DO)

You will review medical records, FHIR data, and inpatient clinical notes used to train and improve AI tools for clinical documentation and decision support. You will assess whether clinical claims are supported by the documentation and identify missing or conflicting information.

The work also includes reviewing patient history, past medical history, assessments, and care plans. You will apply consistent clinical review standards, give clear feedback to improve model performance and data quality, and share findings through written reports and discussions with project stakeholders.

• Review inpatient clinical notes and health record data.
• Check clinical claims against supporting documentation.
• Identify discrepancies and omissions in clinical records.
• Evaluate patient assessments, diagnoses, clinical reasoning, and care plans.
• Provide clear, constructive feedback and written findings.

This is a remote, part-time contractor role for candidates in the United States. The work requires professional medical judgment and close attention to detail when reviewing clinical documentation.

• Pay: $100 to $115 per hour.
• Location: Open to candidates in the United States.
• Language: Fluent in English.
• Required credential: MD or DO with board certification in Internal Medicine, Pediatrics, or Hospital Medicine.
• Required experience: Current or recent hands-on inpatient or hospitalist clinical experience, preferably within the past two years.
• Required skills: Strong knowledge of patient assessment, diagnosis, clinical reasoning, and hospital-based care workflows.
• Helpful background: Chart review, clinical documentation improvement, utilization review, medical coding, or medical quality assurance.
• Active medical licensure is relevant to the clinical practice background required for this work.

You apply here in about two minutes and finish on the hiring platform. The next step is a short AI interview (technical roles include a coding challenge). Passing it is how you qualify for paid tasks, so take it soon after you are invited.

AI training is the human work behind systems that learn from examples, including reviewing documents and rating whether model outputs are accurate and useful. Experienced clinical professionals are needed because medical records and care decisions require knowledge that general reviewers do not have.