Most people who don't get in fail the screening, not the CV. Five minutes here first: How to pass the micro1 AI interview with Zara.
What the work is
Role Title: Inpatient Care Physician (MD/DO)
Role Type: Contractor
micro1 is engaging experienced Inpatient Care Physicians (MD/DO) to contribute specialized medical expertise to a forward-thinking AI project aimed at enhancing clinical documentation and decision support tools. In this role, you'll apply your expertise 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 and assess medical records, including FHIR data and clinical notes, for use in AI training and development.
- Evaluate clinical information and ensure that all claims and statements are supported by proper documentation.
- Analyze inpatient documentation such as HPI, PMH, assessments, and care plans, identifying any discrepancies or omissions.
- Apply consistent standards and follow clear guidelines to ensure accuracy and reliability in clinical data review.
- Provide detailed, actionable feedback to project teams to improve AI model performance and data quality.
- Communicate findings and insights clearly through both written reports and verbal discussions with project stakeholders.
Who gets hired
- MD or DO credential, board certified in Internal Medicine, Pediatrics, or Hospital Medicine.
- Current or recent hands-on inpatient or hospitalist clinical experience (within the past 2 years preferred).
- Expertise in patient assessment, diagnosis, and hospital-based clinical care workflows.
- Proven ability to review and critique clinical notes and raw health record data with strong attention to detail.
- Experience with chart review, clinical documentation improvement, utilization review, or medical coding/QA is advantageous.
- Demonstrated clinical reasoning and decision-making skills relevant to inpatient care.
- Excellent written and verbal communication skills, with a commitment to clear, constructive feedback.
The platform posted this on 20 Oct 2026.