Hospitalist Physician

micro1 is engaging 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 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

1. Review medical records, including FHIR data and clinical notes for AI Training.
2. Check whether clinical information and claims are supported by the medical record.
3. Review inpatient documentation, including HPI, PMH, assessments, and plans.
4. Follow clear guidelines and apply the same standards consistently.
5. Identify missing, incorrect, or inconsistent information in medical records.
6. Share feedback to help improve AI models and data quality.
7. Communicate clearly with the project team about your work and findings.

Preferred Qualifications

1. MD or DO, board certified in Internal Medicine, Pediatrics, or Hospital Medicine.
2. Current or recent inpatient/hospitalist experience (within the last 2 years).
3. Strong understanding of inpatient documentation and hospital workflows.
4. Comfortable reviewing clinical notes and raw medical record data.
5. Strong attention to detail and ability to follow clear guidelines consistently.
6. Experience with chart review, clinical documentation improvement, utilization review, or medical coding/QA is a plus.
7. Experience working across different inpatient services or specialties is a plus.

About micro1

micro1 is a data lab that helps AI labs & Enterprises train foundational models and agents. We provide frontier evaluations and reinforcement learning environments to improve LLM capabilities, as well as contextual evaluations to monitor and improve AI agents in enterprise settings.Our AI recruiting agent sources and vets domain experts for our data platform that enables rapid production of high-quality training data. Our research spans high-value, specialized domains (legal, medical, finance, coding, etc.), where expert-level data is the hardest to produce and most valuable for advanced model performance. Our pipeline performance system ensures both quality and velocity.