Family Medicine Hospitalist AI Training Expert

You will review inpatient medical records, clinical notes, and FHIR data used to train AI systems. The work requires clinical judgment, careful documentation review, and consistent use of written guidelines.

You will assess whether clinical claims are supported by the record and provide clear feedback about data quality and AI model performance.

• Review FHIR data, clinical notes, and inpatient medical records.
• Evaluate HPI, PMH, assessments, plans, and other inpatient documentation.
• Check whether clinical information and claims are supported by the medical record.
• Identify missing, incorrect, or inconsistent information.
• Apply review guidelines consistently across records.
• Share clear findings that support better AI performance and data quality.

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 $115 per hour.
• Work arrangement: Remote contractor work with part-time employment status.
• Location: Open to candidates in AE, AR, AT, BD, BE, BH, BR, CA, CH, CL, CO, DE, DK, DZ, EG, ES, FR, GB, GH, GR, ID, IN, IT, JO, JP, KE, KG, KW, KZ, LB, LK, MA, MX, MY, NG, NL, OM, PE, PH, PK, PS, PT, QA, SA, SG, TH, TN, TW, US, UZ, VN, and ZA.
• Language: Fluent English is required for reviewing and communicating about clinical documentation.
• Required: MD or DO with board certification in Family Medicine.
• Required: Hospital Medicine focus or certification where applicable.
• Required: At least five years of hospitalist experience.
• Required: 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: Strong 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: Familiarity with adult medicine, geriatrics, pediatrics, or obstetric and newborn care.

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. Medical experts review records and model outputs so AI systems can handle clinical information more accurately and safely.

OpenTrain is a platform where people find AI training roles, build a profile, and apply to projects across the industry. Creating an OpenTrain account is free.