Family Medicine Hospitalist AI Training Reviewer (English)

You will review medical records for AI training, using inpatient clinical expertise to assess whether documented information and claims are supported by the record. Your work will help improve model quality and medical data accuracy.

Reviews may include FHIR data, clinical notes, HPI, PMH, assessments, plans, admissions, daily progress notes, transitions of care, and discharge documentation.

• Review medical records and raw medical-record data for AI training.
• Check whether clinical information and claims are supported by the record.
• Find missing, incorrect, or inconsistent information.
• Apply documentation review guidelines consistently across records.
• Write clear, evidence-based feedback that improves AI models and data quality.

What it pays and takes

This is a remote, part-time contractor role for physicians contributing clinical expertise to AI training and data-quality review.

• Pay: $80 to $115 USD per hour.
• Work arrangement: Remote contractor, part-time.
• Location: Open to candidates in the eligible countries listed for this role.
• Language: Fluent English.
• Education: MD or DO degree.
• Certification: Board certification in Family Medicine.
• Experience: At least five years of hospitalist experience.
• Practice background: Current or recent inpatient or hospitalist practice within the last two years.
• Knowledge: Strong understanding of inpatient documentation and hospital workflows.
• Skills: Comfort reviewing clinical notes and raw medical-record data, with careful and consistent judgment when applying documentation standards.
• Helpful background: Chart review, clinical documentation improvement, utilization review, medical coding, or quality assurance.
• Additional helpful experience: Broad exposure to adult medicine, geriatrics, pediatrics, or obstetric and newborn care.

How it works

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.

The hiring platform's application for this job asks for your resume, your LinkedIn profile, your phone number, your location and answers to 6 screening questions.

About AI training work

AI training uses examples reviewed and prepared by people to improve how artificial intelligence systems work. Medical reviewers are paid for applying specialized clinical knowledge and careful judgment to those examples.