Inpatient Medical Documentation AI Training Specialist

You will review adult inpatient records, FHIR data, clinical notes, and other medical-record information used to improve AI systems. Your work will assess documentation quality, verify whether claims are supported by the record, and provide structured feedback on model behavior.

You will use hospitalist-level clinical judgment while applying review guidelines consistently. The work focuses on inpatient documentation and the accuracy, completeness, and consistency of clinical information.

• Evaluate HPI, past medical history, medication reconciliation, social history, assessments, and plans.
• Check whether clinical information and claims are supported by the underlying medical record.
• Identify missing, incorrect, or inconsistent details in clinical documentation.
• Review medication interactions, renal- and hepatic-adjusted dosing, and age-appropriate clinical considerations.
• Assess admission notes, daily progress notes, transitions of care, and discharge workflows.
• Share clear feedback that improves AI model behavior and data quality.

This is a part-time contractor role for an individual contributing medical expertise to an AI training project.

• $80 to $115 per hour.
• Part-time work.
• Open to candidates in the United States.
• Professional fluency in English.
• MD or DO with board certification in Internal Medicine.
• Internal Medicine physicians with a Hospital Medicine focused practice designation may qualify.
• At least five years of hospitalist experience.
• Current or recent inpatient hospitalist experience within the last two years.
• Strong understanding of adult inpatient care and clinical documentation.
• Comfort reviewing clinical notes and raw medical-record data.
• Close attention to detail and the ability to follow defined standards consistently.
• Experience with chart review, clinical documentation improvement, utilization review, medical coding, or clinical quality assurance is helpful.

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 uses human review of examples, records, and model responses to help artificial intelligence systems produce more accurate and useful results. OpenTrain helps people find this kind of work, build a profile, and apply to projects that match their experience.