AI training & evaluation
Family Medicine Hospitalist
micro1
In this role, you’ll apply your broad clinical training to help train next-generation AI systems.
- Work arrangement & location
- Remote
- Compensation
- Per accepted task
Track this job
Employer description and requirements
Role Title: Family Medicine Hospitalist
Role Type: Contractor
Location: Remote
micro1 is engaging Family Medicine Hospitalist Physicians to contribute their medical expertise to a customer project focused on inpatient care and documentation standards. In this role, you’ll apply your broad clinical training to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input.
Scope of Work
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.
Communicate clearly with the project team about your work and findings.
Preferred Qualifications
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.
Strong attention to detail and ability to follow clear guidelines consistently.
Experience with chart review, clinical documentation improvement, utilization review, or medical coding/QA is a plus.
Experience across a broad patient mix, such as adult medicine, geriatrics, pediatrics, or obstetric/newborn care, is a plus. Family medicine’s cross-population training is especially valuable here.
Compensation Structure
Compensation is output-based; experts are paid per task that meets the project specifications. The time required to complete work may vary depending on the expert’s experience and workflow. Minimum submission requirements apply. Experts must submit a minimum of tasks per week.
Application screening questions
How soon can you start the work? (in days)
What is your expected hourly rate in USD?
How many hours per week are you available to work?
Please list your active medical license state(s), medical board, and license number(s).
How many years of work experience do you have with [Skill]?
Please briefly describe your experience in leadership roles you've held in documentation QA, audit, or clinical quality programs.
Other published fields (read alongside the description):
Published hourly-rate fields: {'max': 125, 'min': 80}
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