Inpatient Medical Specialist, AI Training

You will review adult inpatient records, FHIR data, clinical notes, and other medical-record information used to train and evaluate AI systems. You will judge whether clinical claims are supported by the underlying record and provide structured feedback on documentation quality and model reasoning.

The work covers the full inpatient documentation process, including admission records, daily progress notes, transitions of care, and discharge workflows.

• Evaluate HPI, past medical history, medication reconciliation, social history, assessments, and treatment plans.
• Identify missing, incorrect, or inconsistent clinical details.
• Review medication interactions, renal- and hepatic-adjusted dosing, and age-appropriate clinical considerations.
• Classify and rate clinical information using clear review guidelines.
• Share feedback that improves AI behavior and medical data quality.

This is a part-time contract role open to candidates in the United States. The role requires professional fluency in English and specialized inpatient medicine experience.

• $80 to $115 per hour.
• Open to candidates in the United States.
• Fluent in English.
• MD or DO with board certification in Internal Medicine.
• At least five years of hospitalist experience.
• Current or recent inpatient hospitalist experience within the last two years.
• Strong knowledge of admission, daily progress, transitions-of-care, and discharge documentation.
• Comfort reviewing clinical notes, FHIR data, and raw medical-record information.
• Careful attention to detail and the ability to follow defined standards consistently.
• Helpful background includes chart review, clinical documentation improvement, utilization review, medical coding, or clinical quality assurance.

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 medical records and rating model outputs. OpenTrain helps professionals find these projects, build a profile, and apply in one place.