About The Position

24-MAG LLC is offering a fully remote freelance/contract consulting opportunity for a U.S.-based Family Medicine Physician with an MD and an active U.S. medical license. The physician will apply primary care experience and clinical judgment to support AI training and evaluation initiatives. Prior experience with AI training projects is not required. The work involves reviewing and annotating clinical records, evaluating clinical scenarios and AI-generated medical outputs, and assessing medical accuracy, completeness, safety, and appropriateness. Assignments may cover office visit documentation, care plans, referrals, laboratory and imaging results, and clinical reasoning across pediatric, adult, and geriatric populations. Deliverables include structured medical annotations, clinical accuracy assessments, and detailed written feedback. The engagement is fully remote and limited to the United States. Compensation is $100–$120 per hour, and 10 openings are available. Board certification in Family Medicine is strongly preferred.

Requirements

  • MD degree and an active license to practice medicine in the United States.
  • Must be based in the United States.
  • Professional experience in primary care, family medicine, or a closely related clinical setting.
  • Demonstrated experience providing patient care in clinics, community practices, or healthcare systems.
  • Strong clinical knowledge across pediatric, adult, and geriatric populations.
  • Experience diagnosing and managing common acute medical conditions.
  • Practical expertise in chronic disease management and longitudinal patient care.
  • Strong understanding of preventive medicine, health screening, and routine primary care.
  • Experience reviewing office visit notes, clinical assessments, and treatment plans.
  • Familiarity with referral documentation, laboratory testing, imaging findings, and care coordination.
  • Ability to identify inaccuracies, inconsistencies, and incomplete information in medical records.
  • Strong understanding of evidence-based clinical guidelines and accepted standards of care.
  • Demonstrated clinical judgment in evaluating diagnoses, treatment options, and patient management decisions.
  • Experience interpreting clinical documentation across diverse patient conditions and healthcare needs.
  • Excellent analytical reasoning and attention to detail.
  • Strong written communication skills for explaining medical assessments and clinical decisions.
  • Effective verbal communication and ability to collaborate with multidisciplinary project teams.
  • Ability to independently assess medical information and provide clear, actionable recommendations.
  • Strong organisational skills and commitment to consistent, high-quality clinical evaluations.

Nice To Haves

  • Board certification in Family Medicine is strongly preferred.
  • Experience with clinical annotation, medical record review, or healthcare data validation.
  • Familiarity with clinical quality assurance or structured medical evaluation processes.

Responsibilities

  • Review and annotate medical records, including office visit notes, clinical assessments, and treatment plans.
  • Evaluate referrals, laboratory findings, imaging results, and care coordination documentation.
  • Assess clinical records for accuracy, completeness, and consistency; identify missing, incorrect, or ambiguous information.
  • Ensure annotations accurately reflect documented patient histories, findings, and care decisions.
  • Evaluate family medicine scenarios across pediatric, adult, and geriatric populations, including acute illness, chronic conditions, and preventive care.
  • Assess the appropriateness of documented assessments, treatment plans, and follow-up recommendations.
  • Apply evidence-based guidelines and accepted standards of care to validate clinical conclusions, diagnoses, and treatment approaches.
  • Identify unsupported assumptions, incomplete reasoning, and inconsistencies with established care standards.
  • Evaluate AI-generated medical outputs for clinical accuracy, safety, and appropriateness, and identify factual errors or inappropriate recommendations.
  • Provide structured evaluations to improve AI model understanding and medical data quality.
  • Prepare written feedback explaining medical errors, recommended corrections, clinical reasoning, and relevant guideline considerations.
  • Collaborate with project stakeholders to clarify requirements and resolve documentation ambiguities.
  • Contribute expert insights on complex clinical scenarios and edge cases.
  • Maintain consistent standards of medical accuracy, communication, attention to detail, and documentation quality.
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