Hospitalist Physician Medical Documentation Expert

You will review inpatient medical records and clinical documentation used to improve AI systems. The work combines clinical judgment with careful data-quality review.

You will compare FHIR data, clinical notes, and claims with the supporting medical record. You will identify missing, incorrect, or inconsistent information and give clear feedback to support better model performance.

• Review FHIR data, clinical notes, and inpatient medical records for accuracy and completeness.
• Check whether clinical information and claims are supported by the medical record.
• Evaluate the history of present illness, past medical history, assessments, and plans.
• Identify documentation gaps, errors, and inconsistencies.
• Apply review guidelines consistently across inpatient materials.
• Communicate findings and feedback clearly.

This is remote contractor work with flexible scheduling. The role is open to candidates in the countries listed for this project and requires professional fluency in English.

• Pay: $100 to $120 per hour.
• Work arrangement: Remote, part time, and contract.
• Education: MD or DO degree.
• Certification: Board certification in Internal Medicine, Pediatrics, or Hospital Medicine.
• Experience: Current or recent inpatient or hospitalist work within the last two years.
• Knowledge: Strong understanding of inpatient documentation and hospital workflows.
• Skills: Ability to review clinical notes and raw medical record data, follow review standards, and maintain careful attention to detail.
• Helpful background: Chart review, clinical documentation improvement, utilization review, medical coding, quality assurance, work across multiple inpatient services or specialties, and familiarity with FHIR records.

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. In this role, your clinical review helps prepare and evaluate medical data so AI systems can handle documentation more accurately. OpenTrain helps people find AI training and data-labeling projects, build a profile, and apply in minutes.