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

24-Mag•New York, NY

12d•Remote

About The Position

24-MAG LLC is offering a fully remote consulting opportunity for bilingual medical doctors and physician experts to contribute clinical expertise to AI training and evaluation initiatives. The role combines clinical case analysis, medical content review, Japanese-language medical evaluation, healthcare data analysis, and structured feedback on AI-generated medical outputs. Prior AI training experience is not required. Professionals will analyse clinical scenarios and patient information, assess medical content for clinical accuracy and consistency with established practices, and evaluate Japanese and English medical terminology and communication. They will also annotate clinical datasets and documentation, provide clear evaluation guidance, and collaborate with physicians and technical contributors to improve medically oriented AI materials and evaluation methods. The work requires maintaining appropriate privacy, security, confidentiality, and ethical standards when handling healthcare information. This is a freelance, part-time contract engagement, open worldwide, with a minimum commitment of approximately 15 hours per week. Compensation is $125 per hour, and 30 openings are available. Selected professionals should be prepared to begin initial assignments within 24–48 hours after receiving onboarding credentials. The selection process may include an approximately 35-minute AI interview, a short questionnaire, and a final project review. Work must not use confidential or proprietary information belonging to an employer, client, institution, or other third party.

Requirements

Medical Doctor (MD, DO, or equivalent recognised medical qualification) with relevant clinical training and practical medical expertise.
Japanese proficiency at JLPT N1 level or equivalent native or near-native fluency.
English proficiency at C1 level or higher.
Strong understanding of Japanese 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.
Experience interpreting electronic health records, patient information, clinical notes, or other medical documentation.
Strong analytical reasoning, diagnostic problem-solving, and medical information evaluation capabilities.
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.
Minimum commitment of approximately 15 hours per week.
Work must be completed without using confidential or proprietary information belonging to an 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 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.
Review patient presentations, clinical histories, and diagnostic information for accuracy and consistency; identify incomplete explanations, inappropriate assumptions, and potential inaccuracies.
Review AI-generated medical explanations, clinical summaries, and healthcare content for factual and clinical accuracy, relevance, completeness, terminology, and alignment with established practices.
Assess AI-generated recommendations and explanations in defined clinical evaluation scenarios, and provide structured feedback to improve their accuracy and reliability.
Evaluate Japanese medical terminology, clinical explanations, and healthcare communication for linguistic and technical accuracy across Japanese- and English-language contexts.
Identify translation inaccuracies, terminology inconsistencies, and communication issues affecting medical interpretation; provide precise bilingual explanations and feedback.
Analyse and annotate clinical datasets, healthcare information, and medical documentation for AI training tasks.
Evaluate diagnostic reasoning, patient information, and healthcare workflow scenarios, and identify opportunities to improve clinical interpretation and medical decision-support capabilities.
Translate complex clinical concepts and healthcare procedures into clear, structured evaluation guidance.
Evaluate content for consistency with relevant clinical standards, professional practices, and ethical principles.
Maintain appropriate data privacy, security, and confidentiality 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 methods, technical documentation, and AI-generated medical content quality.