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Use clinical expertise to review and improve AI-generated medical reasoning, contributing to safer and more accurate medical tools. This fully remote role involves applying medical knowledge to refine healthcare AI models in an innovative environment.
Key Responsibilities
- • Analyze patient and operational data to refine AI models that enhance healthcare outcomes.
- • Curate, preprocess, and annotate datasets tailored to healthcare applications.
- • Train and fine-tune machine learning models using state-of-the-art tools and techniques in a clinical setting.
- • Provide iterative feedback on model outputs for improved accuracy and performance.
- • Collaborate with cross-functional teams, including data scientists and healthcare professionals, to define and achieve training objectives.
- • Monitor AI model performance and suggest improvements based on user or system feedback.
- • Ensure data security and ethical compliance in all training processes.
Required
- • Proven experience in diagnostic analysis and clinical terminology.
- • Solid understanding of medical and physiological concepts.
- • Familiarity with healthcare protocols and regulations.
- • A Medical degree
- • Strong written and verbal communication skills.
- • Ability to work independently and collaboratively in a remote team environment.
Job Title: Medical Doctor AI Trainer
Job Type: Contract (Full-time or Part-time)
Location: Remote (United States and Canada)
Job Summary:
Join our customer's team as a Medical Doctor AI Trainer and use your clinical expertise to help shape the next generation of healthcare AI. You’ll review and improve AI-generated medical reasoning, contributing directly to safer and more accurate medical tools. This fully remote, flexible role lets you apply your medical knowledge in an innovative, impact-driven environment.
Key Responsibilities:
- Analyze patient and operational data to refine AI models that enhance healthcare outcomes.
- Curate, preprocess, and annotate datasets tailored to healthcare applications.
- Train and fine-tune machine learning models using state-of-the-art tools and techniques in a clinical setting.
- Provide iterative feedback on model outputs for improved accuracy and performance.
- Collaborate with cross-functional teams, including data scientists and healthcare professionals, to define and achieve training objectives.
- Monitor AI model performance and suggest improvements based on user or system feedback.
- Ensure data security and ethical compliance in all training processes.
Required Skills and Qualifications:
- Proven experience in diagnostic analysis and clinical terminology.
- Solid understanding of medical and physiological concepts.
- Familiarity with healthcare protocols and regulations.
- A Medical degree
- Strong written and verbal communication skills.
- Ability to work independently and collaboratively in a remote team environment.
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