Remote | Inpatient Care Physician (MD/DO) — $100–$115/hour
About The Position
24-MAG LLC is recruiting experienced US-based Inpatient Care Physicians (MD/DO) for a specialised remote consulting engagement supporting advanced AI training and evaluation. Physicians will apply practical hospital medicine expertise to review complex inpatient medical records, assess clinical documentation and medical reasoning, and provide expert feedback on AI-generated clinical information. The work combines inpatient clinical assessment, chart review, clinical data interpretation, documentation quality assessment, and research-driven evaluation to improve the accuracy and reliability of AI systems supporting clinical documentation and decision-making workflows. Assignments may involve interpreting inpatient records and FHIR data; evaluating clinical summaries, diagnoses, treatment plans, and care documentation; identifying omissions, discrepancies, inconsistencies, and unsupported statements; and producing clear, structured clinical analyses and actionable feedback. The role is fully remote within the United States and is offered as a freelance/contract engagement. Compensation is $100–$115 per hour, with 50 openings. Work must be completed without using confidential or proprietary information belonging to any employer, client, institution, or other third party.
Requirements
- Doctor of Medicine (MD) or Doctor of Osteopathic Medicine (DO) credential.
- Board certification in Internal Medicine, Pediatrics, or Hospital Medicine.
- Substantial professional experience providing inpatient clinical care or practising as a hospital-based physician.
- Current or recent hands-on inpatient or hospitalist experience, preferably within the past 2 years.
- Strong expertise in patient assessment, clinical diagnosis, medical decision-making, and hospital-based care workflows.
- Ability to interpret complex medical records, clinical histories, and diagnostic information.
- Experience reviewing physician documentation, inpatient progress notes, clinical assessments, and treatment plans.
- Familiarity with structured clinical data, electronic health records, and healthcare interoperability formats such as FHIR.
- Strong understanding of clinical documentation standards and the relationship between medical findings and documented diagnoses.
- Ability to identify discrepancies, omissions, and unsupported statements within complex clinical records.
- Excellent clinical reasoning, analytical judgement, critical-thinking, and problem-solving capabilities.
- Strong written and verbal communication skills, including the ability to explain sophisticated clinical concepts clearly.
- Exceptional attention to detail and commitment to accurate, complete, and clinically relevant documentation.
- Ability to evaluate medical information objectively and provide precise, constructive feedback.
- Ability to work independently and contribute effectively within remote, technology-supported research environments.
- Work must be completed without using confidential or proprietary information belonging to any employer, client, institution, or other third party.
Nice To Haves
- Experience with chart review, clinical documentation improvement, utilisation review, or medical coding quality assurance.
- Experience working with multidisciplinary healthcare teams or clinical quality improvement initiatives.
- Prior experience with AI training, model evaluation, or clinical AI applications is not required.
Responsibilities
- Analyze complex inpatient clinical scenarios involving patient assessment, diagnosis, and hospital-based medical management.
- Evaluate clinical information in the context of symptoms, medical history, diagnostic findings, and treatment decisions.
- Assess the accuracy and completeness of inpatient medical information and the relationship between findings, diagnoses, and management plans.
- Review and interpret inpatient medical records, clinical notes, and structured healthcare data, including FHIR resources.
- Evaluate medical documentation for consistency, completeness, and alignment with available clinical information.
- Identify discrepancies, missing clinical details, and inconsistencies across structured and unstructured medical records.
- Review inpatient documentation, including HPI, PMH, clinical assessments, and care plans, for clinical support, clarity, relevance, and completeness.
- Identify documentation omissions, conflicting statements, and areas requiring additional clinical explanation.
- Review and validate AI-generated clinical summaries, medical explanations, and documentation-related outputs.
- Identify unsupported clinical statements, incomplete reasoning, and discrepancies between AI-generated content and the underlying records.
- Provide detailed, actionable feedback to improve AI performance in clinical documentation and decision-support tasks.
- Apply consistent clinical review standards and project guidelines to medical documentation assessments.
- Produce clear clinical analyses, chart review summaries, and structured evaluation feedback.
- Communicate complex medical findings and documentation considerations through written reports and professional discussions.
- Collaborate remotely with project stakeholders, clinical experts, and multidisciplinary contributors on clinical research and evaluation assignments.
- Support continuous improvement of clinical data accuracy, documentation quality, and AI evaluation deliverables.
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What This Job Offers
Career Level
Senior
Education Level
Ph.D. or professional degree
