Remote | Medical Doctor

24-Mag • New York, NY

12d • Remote

About The Position

24-MAG LLC is seeking experienced Medical Doctors for a fully remote consulting engagement supporting advanced AI training and evaluation initiatives. Professionals will apply clinical expertise in medicine, diagnostic analysis, physiology, healthcare protocols, and medical decision-making to review and annotate clinical scenarios, evaluate AI-generated medical information, and assess healthcare data. The work involves practical clinical judgment, structured medical reasoning, patient-record analysis, and technical feedback intended to improve how AI systems interpret clinical information and support medical decision-making. Prior experience with AI training projects is not required.

The engagement is freelance/contract and part-time, with approximately 15 hours per week minimum. It is open to U.S.-based professionals and offers compensation of $230 per hour. There are 30 openings. Deliverables include structured medical annotations, clinical evaluations, and detailed written feedback. Assignments may involve assessing diagnostic conclusions, interpreting clinical documentation, and identifying improvements to medical data quality.

Candidates should have an MD or equivalent medical qualification and current or recent U.S. clinical practice experience. Completion of residency is preferred; physicians in their final year of residency may also be considered. Internal Medicine, Family Medicine, and Emergency Medicine experience is particularly relevant, and physicians from selected subspecialties may be considered. The selection process includes an approximately 25-minute AI-assisted conversational interview, a short questionnaire, and project-team review. Selected professionals are generally expected to begin their first assignments within 24–48 hours of receiving project credentials. Strong clinical judgment, communication, consistent work quality, and adherence to patient-data privacy requirements are important.

Requirements

• MD or equivalent medical qualification.
• Current or recent U.S. clinical practice experience.
• Strong professional expertise in diagnostic analysis and general clinical medicine.
• Advanced understanding of human physiology and its application to clinical decision-making.
• Familiarity with established healthcare protocols and clinical standards of care.
• Experience evaluating patient histories, clinical presentations, and medical findings.
• Strong clinical reasoning skills and ability to assess complex diagnostic scenarios.
• Accurate interpretation of medical terminology.
• Experience reviewing electronic health records and patient documentation.
• Ability to identify inaccuracies, inconsistencies, and incomplete information in medical content.
• Strong analytical reasoning and attention to detail.
• Excellent written communication skills for explaining medical assessments and technical findings.
• Effective verbal communication and ability to collaborate with multidisciplinary teams.
• Ability to translate complex clinical concepts into clear, actionable recommendations.
• Understanding of healthcare documentation standards and clinical workflows.
• Strong professional judgment when evaluating AI-generated medical information.
• Commitment to patient-data confidentiality, information security, and ethical handling of healthcare information.
• Ability to work independently and maintain consistent quality across assigned evaluations.
• Strong organizational skills and reliability in meeting project requirements.
• Must be based in the United States.
• Approximately 15 hours per week minimum availability.

Nice To Haves

• Completion of medical residency; physicians in their final year of residency may also be considered.
• Clinical experience in Internal Medicine, Family Medicine, or Emergency Medicine; physicians from selected subspecialties may also be considered.
• Previous experience with clinical quality assurance, medical annotation, or structured chart review.

Responsibilities

• Review and annotate clinical scenarios, patient cases, and healthcare datasets.
• Analyze patient histories, clinical findings, and relevant medical documentation.
• Evaluate the accuracy, completeness, and clinical relevance of annotated healthcare information.
• Identify inconsistencies, unsupported conclusions, and missing clinical details.
• Apply professional medical knowledge to support high-quality AI training datasets.
• Use diagnostic reasoning to evaluate complex clinical presentations and patient information.
• Assess whether medical conclusions are consistent with documented clinical findings.
• Apply knowledge of general medicine, physiology, and healthcare protocols to clinical evaluations.
• Identify inaccurate interpretations, incomplete assessments, and weaknesses in medical reasoning.
• Provide clinically grounded explanations to improve AI-generated medical content.
• Review AI-generated medical information for clinical accuracy, relevance, and consistency.
• Evaluate medical outputs against appropriate clinical standards and established healthcare practices.
• Provide structured expert feedback on medical accuracy, reasoning quality, and information completeness.
• Support refinement of evaluation criteria and healthcare data quality standards.
• Review electronic health records, patient data, and clinical documentation relevant to assigned tasks.
• Interpret medical terminology and translate complex clinical concepts into clear evaluation guidance.
• Assess healthcare workflows and documentation practices using practical clinical experience.
• Identify discrepancies between medical records, clinical interpretations, and expected healthcare procedures.
• Maintain patient-data security, privacy, and professional confidentiality.
• Prepare written evaluations documenting clinical findings and recommended improvements.
• Collaborate with data scientists, engineers, and project stakeholders on medical evaluation requirements.
• Explain clinical concepts, diagnostic considerations, and medical terminology to multidisciplinary teams.
• Contribute professional insights to improve AI training workflows and project deliverables.
• Maintain accuracy, attention to detail, and ethical standards across assigned work.

What This Job Offers

• Job Type: Part-time
• Career Level: Senior
• Education Level: Ph.D. or professional degree