🏥 Hospitalist Physician – AI Training $70–$100/hour Remote Openings 30

🏥 Hospitalist Physician – AI Training | Remote | micro1 Are you a physician with recent inpatient or hospitalist experience and strong knowledge of clinical documentation? 🩺 micro1 is hiring 30 Hospitalist Physicians for a customer project focused on inpatient care, medical records, and documentation standards. In this contractor opportunity, physicians will use their medical expertise to review real-world clinical information and provide high-quality input that helps train and improve next-generation AI systems. 💼 Job Details Position: Hospitalist Physician Company: micro1 Job Type: Contractor Location: Remote 🌎 Openings: 30 Pay: $70–$100/hour 🔑 Required Skills FHIR Records History of Present Illness (HPI) Past Medical History (PMH) Rubric-based evaluation Inpatient/Hospitalist Experience Quality Assurance 🤖 About the Role micro1 is engaging Hospitalist Physicians to contribute their clinical expertise to an AI training project focused on inpatient care and medical documentation. You will review medical records and clinical notes, evaluate whether information is properly supported by the record, identify inconsistencies, and provide feedback according to established guidelines. Your expertise will help AI models learn how to better understand, reason about, and evaluate medical information. 🏥 Scope of Work 1. 📋 Review Medical Records Review medical records, including: FHIR data Clinical notes Medical documentation Other relevant patient-record information The goal is to support AI training and data quality. 2. 🔎 Validate Clinical Information Check whether clinical information and claims are properly supported by the medical record. You will need to identify information that may not be adequately supported by the available documentation. 3. 🩺 Review Inpatient Documentation Evaluate important parts of inpatient medical records, including: History of Present Illness (HPI) Past Medical History (PMH) Assessments Treatment plans Other clinical documentation 4. 📏 Follow Evaluation Guidelines Apply the project's established guidelines and rubric consistently when reviewing records. Consistency is important because your evaluations will contribute to AI training data. 5. ⚠️ Identify Documentation Problems Identify: Missing information Incorrect information Inconsistent information Documentation issues Clinical information that is not supported by the record 6. 💬 Provide Feedback Share useful feedback that can help improve: AI model performance Medical data quality Documentation evaluation Training data accuracy 7. 🤝 Communicate With the Project Team Clearly communicate your findings, questions, and observations with the project team. Strong communication skills are important when explaining issues identified during medical-record review. 🎯 Preferred Qualifications 🩺 1. Medical Degree Candidates should have: MD or DO Board certification in Internal Medicine, Pediatrics, or Hospital Medicine 🏥 2. Recent Inpatient Experience Current or recent inpatient/hospitalist experience within the last 2 years is preferred. This is important because the project focuses specifically on inpatient care and documentation. 📋 3. Strong Knowledge of Hospital Documentation Candidates should understand: Inpatient documentation Hospital workflows Clinical notes Medical-record structures Inpatient clinical processes 💻 4. Medical Record Review You should be comfortable reviewing: Clinical notes Raw medical record data FHIR data Inpatient documentation 👀 5. Attention to Detail Strong attention to detail is important when identifying missing, incorrect, or inconsistent clinical information. 📊 6. Chart Review & QA Experience Experience with the following is a plus: Chart review Clinical documentation improvement Utilization review Medical coding Quality assurance 🏥 7. Multiple Inpatient Services Experience working across different inpatient services or medical specialties is also beneficial. 💰 Pay & Opportunity 💵 $70–$100/hour 👥 30 openings 🌎 Remote 🏷️ Contractor This opportunity allows qualified physicians to use their clinical and hospitalist expertise while contributing to the development and training of AI systems. 👤 Who Should Apply? This role may be suitable for: Hospitalist Physicians Internal Medicine Physicians Hospital Medicine Physicians Board-Certified MDs Board-Certified DOs Physicians with recent inpatient experience Physicians experienced in clinical documentation Physicians with chart-review experience Clinical QA professionals with physician backgrounds Physicians experienced with utilization review Physicians with medical coding/documentation knowledge If you have recent inpatient/hospitalist experience and strong medical-record review skills, this opportunity may be worth exploring. 🤖 Why This Role Matters AI systems increasingly need high-quality medical expertise to learn how to interpret complex healthcare information. Hospitalist Physicians can contribute valuable knowledge by evaluating clinical documentation, inpatient workflows, medical records, and real-world clinical reasoning. Your feedback can help improve how AI systems process and understand medical information. 🚀 How to Apply Interested physicians should review the official micro1 listing and apply through the appropriate application process. Apply Now