Remote | Bilingual Medical Doctor (Korean) — $125/hour

24-Mag•New York, NY

12d•Remote

About The Position

24-MAG LLC is seeking bilingual Medical Doctors and Physician Experts for a remote consulting engagement supporting advanced AI training and evaluation initiatives. The role applies clinical expertise and Korean-language medical communication to analyse clinical scenarios, review patient cases and healthcare data, and assess AI-generated medical content for accuracy, relevance, completeness, and consistency with established medical principles. Prior experience with AI training projects is not required. The work includes clinical case analysis and diagnostic evaluation; review of medical content and clinical accuracy; Korean- and English-language medical evaluation; healthcare data analysis and annotation; and clinical quality assurance. Consultants will provide structured professional feedback, document findings and recommended corrections, and collaborate with physicians, data scientists, engineers, and other project contributors. They must maintain appropriate privacy, security, confidentiality, and ethical standards when handling healthcare information and must not use confidential or proprietary information belonging to an employer, client, institution, or other third party. This is a part-time, freelance/contract, fully remote opportunity open worldwide. Compensation is $125 per hour, with a minimum commitment of approximately 15 hours per week. There are 30 available openings. The selection process may include an approximately 35-minute AI interview, a short follow-up questionnaire, and a final project review. Selected professionals should be prepared to begin initial assignments within 24–48 hours after receiving onboarding credentials.

Requirements

Medical Doctor (MD, DO, or equivalent medical qualification) with relevant clinical training and practical medical expertise.
Native or high-level Korean proficiency, demonstrated by TOPIK Level 5 or higher or equivalent.
English proficiency at C1 level or higher.
Strong understanding of Korean and English medical terminology and professional clinical communication.
Strong understanding of diagnostic analysis, general medicine, human physiology, and established healthcare protocols.
Ability to analyse complex medical scenarios and apply sound clinical judgement.
Strong analytical reasoning, diagnostic problem-solving, and medical information evaluation capabilities.
Ability to interpret electronic health records, patient information, clinical notes, or other medical documentation.
Ability to identify inaccuracies, incomplete explanations, and inconsistencies in clinical content.
Excellent written and verbal communication skills, including the ability to explain sophisticated medical concepts clearly.
Strong attention to detail and commitment to accurate, clinically relevant, professionally grounded medical analysis.
Understanding of patient confidentiality, healthcare data protection, and relevant ethical considerations.
Ability to work independently and provide structured professional feedback in a remote environment.
Work must be completed without using confidential or proprietary information belonging to any employer, client, institution, or other third party.

Nice To Haves

Current or recent clinical practice experience is strongly preferred.
Completion of medical residency training is preferred; physicians in their final year of residency may also be considered.
Experience in internal medicine, family medicine, emergency medicine, or another general medical specialty is particularly relevant; physicians from selected medical subspecialties may also be considered.
Experience collaborating with healthcare professionals, researchers, or multidisciplinary technical teams is advantageous.
Prior experience with AI model training, medical AI evaluation, or healthcare technology projects is advantageous but not required.

Responsibilities

Analyse complex clinical scenarios, patient cases, and medical information using established clinical reasoning principles.
Apply knowledge of general medicine, physiology, diagnostic processes, and healthcare protocols to evaluation tasks.
Review patient presentations, clinical histories, and diagnostic information for accuracy and consistency.
Identify incomplete clinical explanations, inappropriate assumptions, and potential inaccuracies in medical reasoning.
Contribute physician-level expertise to the development and evaluation of medical AI training materials.
Review AI-generated medical explanations, clinical summaries, and healthcare content for factual and clinical accuracy.
Evaluate medical responses for relevance, completeness, terminology, and alignment with established clinical practices.
Identify errors in diagnostic interpretation, clinical physiology, medical concepts, and healthcare procedures.
Assess AI-generated explanations and decision-support content in defined clinical evaluation scenarios.
Provide structured feedback to improve the accuracy and reliability of medical AI outputs.
Use Korean proficiency to evaluate specialised medical content and clinical scenarios.
Assess Korean medical terminology, clinical explanations, and healthcare communication for linguistic and technical accuracy across Korean and English contexts.
Identify translation inaccuracies, terminology inconsistencies, and communication issues affecting medical interpretation.
Provide precise bilingual explanations and feedback for multilingual medical AI training and evaluation.
Analyse and annotate clinical datasets, healthcare information, and medical documentation for AI training tasks.
Evaluate diagnostic reasoning, patient information, healthcare workflows, and AI-generated analyses; identify opportunities to improve clinical interpretation and decision support.
Translate complex clinical concepts and healthcare procedures into clear, structured evaluation guidance.
Evaluate medical content for consistency with clinical standards, professional practices, and ethical principles.
Maintain appropriate data privacy, security, and confidentiality standards when working with healthcare information.
Document clinical findings, evaluation observations, and recommended corrections clearly and precisely.
Collaborate with physicians, data scientists, engineers, and multidisciplinary project contributors.
Support continuous improvement of clinical evaluation methodologies, technical documentation, and AI-generated medical content quality.