Micro1 review · AI Training & Data Labeling
Family Medicine Hospitalist — Inpatient Documentation AI Training (micro1)
What the work involves
micro1 is engaging Family Medicine Hospitalist Physicians to review inpatient documentation for a customer project focused on inpatient care and documentation standards. Working from medical records including FHIR data and clinical notes, you'll check whether clinical information and claims are supported by the record, review inpatient documentation such as HPI, PMH, assessments and plans, and identify missing, incorrect or inconsistent information.
You'll follow clear guidelines consistently and share feedback that improves AI models and data quality. Family medicine's cross-population training is especially valuable here. No prior AI experience is required — your inpatient expertise is what matters.
What you'll do
- Review medical records, including FHIR data and clinical notes, for AI training
- Check whether clinical information and claims are supported by the medical record
- Review inpatient documentation, including HPI, PMH, assessments and plans
- Follow clear guidelines and apply the same standards consistently
- Identify missing, incorrect or inconsistent information in medical records
- Share feedback to help improve AI models and data quality
Requirements & eligibility
- At least 5 years of hospitalist experience
- MD or DO, board certified in Family Medicine (or Family Medicine with a Hospital Medicine focus or certification)
- Current or recent inpatient/hospitalist experience within the last 2 years
- Strong understanding of inpatient documentation and hospital workflows, including admission, daily progress notes, transitions of care and discharge
- Comfortable reviewing clinical notes and raw medical record data
- Experience across a broad patient mix (adult medicine, geriatrics, pediatrics, obstetric/newborn care) is a plus
How to apply
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