Family Medicine Hospitalist AI Training Expert

You will use clinical judgment to review medical records and inpatient documentation used to improve AI systems. The work focuses on checking whether clinical claims are supported by FHIR data and real-world clinical notes.

You will apply written review standards consistently and explain your findings clearly so teams can improve model performance and data quality.

• Review FHIR data, clinical notes, and inpatient medical records for AI training.
• Check whether clinical information and claims are supported by the medical record.
• Evaluate HPI, past medical history, assessments, plans, and other inpatient documentation.
• Identify missing, incorrect, or inconsistent information.
• Provide clear feedback on documentation quality and AI model performance.

What It Pays And Takes

This is a remote, part-time contractor role for a medical professional. Work has variable completion times and includes minimum weekly task submission requirements.

• Pay: $80 to $125 per hour equivalent, paid per task that meets the project specifications.
• Location: Open to candidates in Algeria, Argentina, Austria, Bahrain, Bangladesh, Belgium, Brazil, Canada, Chile, Colombia, Denmark, Egypt, Ethiopia, France, Germany, Ghana, Greece, India, Indonesia, Italy, Japan, Jordan, Kazakhstan, Kenya, Kuwait, Kyrgyzstan, Lebanon, Malaysia, Mexico, Morocco, the Netherlands, Nigeria, Oman, Pakistan, Palestinian Territories, Peru, the Philippines, Portugal, Qatar, Saudi Arabia, Singapore, South Africa, Spain, Sri Lanka, Switzerland, Taiwan, Thailand, Tunisia, the United Arab Emirates, the United Kingdom, the United States, Uzbekistan, and Vietnam.
• Language: Work is conducted in English.
• Required: MD or DO with board certification in Family Medicine, including a Hospital Medicine focus or certification where applicable.
• Required: At least five years of hospitalist experience and current or recent inpatient or hospitalist practice within the last two years.
• Required: Strong understanding of admissions, daily progress notes, transitions of care, and discharge documentation.
• Required: Comfort reviewing clinical notes, FHIR data, and raw medical records.
• Required: Careful attention to detail and consistent use of written standards.
• Helpful: Experience with chart review, clinical documentation improvement, utilization review, medical coding, or quality assurance.
• Helpful: Experience with adult medicine, geriatrics, pediatrics, or obstetric and newborn care.

How It Works

Apply on OpenTrain with your resume, then complete the application on the hiring site.

About AI Training Work

AI training work uses carefully reviewed human examples to help artificial intelligence systems produce more accurate results. Experienced medical professionals are needed because their clinical knowledge helps assess whether records, claims, and documentation are accurate and well supported.