Medical Specialist (Remote)
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Key skills for this role
About the Role
Hire Feed seeks a Medical Specialist on a contract basis to apply clinical expertise in training and evaluating AI systems. The role involves generating accurate medical training data and reviewing AI-generated responses.
Key Skills for This Role
Responsibilities
- Apply advanced clinical diagnosis and treatment planning across diverse medical scenarios to generate accurate training data for AI models
- Contribute to the design and evaluation of conversational agent workflows, ensuring medical accuracy, clinical relevance, and patient safety
- Interpret diagnostic data, including lab results and imaging findings, and integrate findings into robust, patient centric care pathways for model training
- Develop comprehensive health assessments and provide evidence based recommendations in nutrition, dietetics, and pharmacology to inform AI reasoning
- Review and assess AI generated medical responses and workflows for clinical validity, identifying gaps or risks in reasoning and treatment planning
Requirements
- Active clinical experience in medical diagnosis, treatment planning, or patient care management within a licensed healthcare setting
- Strong knowledge of pharmacology, diagnostic interpretation, health assessment methodologies, and nutrition/dietetics principles
- Familiarity with human anatomy, physiology, immunology, and medical genetics
- Ability to analyze complex medical information and communicate clinical insights clearly
Full Job Posting
Role Overview
- We are hiring for one of our clients, seeking a Medical Specialist to work on a Contractor basis.
- In this role, you will apply your clinical expertise to contribute high quality, real world medical input that trains and evaluates next generation AI systems.
- Your domain knowledge will directly shape how AI models learn, reason, and perform across healthcare applications.
- This is a unique opportunity to merge medical practice with AI innovation while maintaining full flexibility from any location worldwide.
Key Responsibilities
- Apply advanced clinical diagnosis and treatment planning across diverse medical scenarios to generate accurate training data for AI models.
- Contribute to the design and evaluation of conversational agent workflows, ensuring medical accuracy, clinical relevance, and patient safety in AI driven interactions.
- Interpret diagnostic data, including lab results and imaging findings, and integrate findings into robust, patient centric care pathways for model training.
- Develop comprehensive health assessments and provide evidence based recommendations in nutrition, dietetics, and pharmacology to inform AI reasoning.
- Review and assess AI generated medical responses and workflows for clinical validity, identifying gaps or risks in reasoning and treatment planning.
Required Skills & Qualifications
- Active clinical experience in medical diagnosis, treatment planning, or patient care management within a licensed healthcare setting.
- Strong knowledge of pharmacology, diagnostic interpretation, health assessment methodologies, and nutrition/dietetics principles.
- Familiarity with human anatomy, physiology, immunology, and medical genetics to support accurate model training and evaluation.
- Ability to analyze complex medical information and communicate clinical insights clearly and consistently for AI model development.
- No prior experience in AI or machine learning is required — your domain medical expertise is the primary qualification.
More About the Opportunity
- This role offers a unique opportunity to work with a global leader in the intersection of healthcare and artificial intelligence.
- By contributing domain expertise to AI training and evaluation, you will help shape the future of safe, accurate, and effective AI systems in medicine.
- The position provides global exposure, flexible remote work, and the chance to have a direct impact on how AI models learn to support clinical decision making across diverse patient populations.
- The platform has powered millions of AI led evaluations and is growing into the human intelligence layer for AI development.
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