Role Description
We are sharing a specialised remote consulting opportunity for bilingual Medical Doctors and Physician Experts with strong expertise in clinical medicine, diagnostic reasoning, medical terminology, healthcare protocols, and Japanese-language medical communication to contribute their professional knowledge to advanced AI training and evaluation initiatives.
Selected professionals will:
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Analyse clinical scenarios, review patient cases and healthcare data, and evaluate AI-generated medical content for clinical accuracy, relevance, and consistency with established medical principles.
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Combine practical medical expertise with multilingual clinical communication, patient data interpretation, and structured AI evaluation to help improve the accuracy and quality of intelligent healthcare systems.
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Note: Prior experience with AI training projects is not required.
Qualifications
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Medical Doctor (MD, DO, or an equivalent recognised medical qualification) with relevant clinical training and practical medical expertise.
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Current or recent clinical practice experience is strongly preferred.
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Completion of medical residency training is preferred; physicians in their final year of residency may also be considered.
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Strong understanding of diagnostic analysis, general medicine, human physiology, and established healthcare protocols.
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Experience in internal medicine, family medicine, emergency medicine, or another general medical specialty is particularly relevant.
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Japanese language proficiency at JLPT N1 level or equivalent native/near-native fluency.
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English language proficiency at C1 level or higher.
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Strong understanding of Japanese and English medical terminology and professional clinical communication.
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Demonstrated ability to analyse complex medical scenarios and apply sound clinical judgement.
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Strong analytical reasoning, diagnostic problem-solving, and medical information evaluation capabilities.
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Excellent written and verbal communication skills, including the ability to explain sophisticated medical concepts clearly.
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Strong attention to detail and commitment to accurate, clinically relevant, and professionally grounded medical analysis.
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Understanding of patient confidentiality, healthcare data protection, and relevant ethical considerations.
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Ability to work independently and provide structured professional feedback in a remote environment.
Requirements
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Experience interpreting electronic health records, patient information, clinical notes, or other medical documentation.
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Experience collaborating with healthcare professionals, researchers, or multidisciplinary technical teams is advantageous.
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Prior experience with AI model training, medical AI evaluation, or healthcare technology projects is advantageous but not required.
Benefits
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Freelance / contract engagement.
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Part-time β fully remote, open worldwide.
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Compensation: $125/hour.
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Minimum Commitment: Approximately 15 hours per week.
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30 available openings.
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Specialised medical consulting role spanning clinical reasoning, Japanese-language medical evaluation, healthcare data analysis, and AI training.
Engagement Details
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Language Requirements: Japanese JLPT N1 or equivalent native/near-native proficiency, together with English proficiency at C1 level or higher.
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Clinical Background: Current or recent medical practice preferred, with completed residency training or final-year residency consideration.
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Work will involve clinical case evaluation, medical content review, healthcare data annotation, and structured feedback on AI-generated medical outputs.
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The selection process may include an approximately 35-minute AI interview, a short follow-up questionnaire, and a final project review.
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Selected professionals should be prepared to begin initial assignments within 24β48 hours after receiving onboarding credentials.
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Work must be completed without using confidential or proprietary information belonging to any employer, client, institution, or other third party.
Company Description
This opportunity is available through 24-MAG LLC. We connect experienced professionals with remote consulting opportunities across technical, evaluation, and project-based workstreams.
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