Medical AI Training Intern (Remote | $2K–$3K / Month)
- Remote
We're Hiring Medical Students for AI Training (Remote)
Earn Between $2,000 - $3,000 / Month
About the Role : Are you a medical student with a passion for advancing AI? We are seeking medical experts to contribute to the training and refinement of cutting-edge artificial intelligence models. In this fully remote and flexible role, you will leverage your clinical knowledge to enhance AI's ability to perform diagnostic and reasoning tasks with precision and accuracy.
Who Can Join?
Medical students & consultants
Students MBBS / Nursing / BDS / BPT / Allied Health
Health professionals, including doctors, nurses, physician assistants, and various allied health professionals like therapists, dietitians, and technicians, etc...
What You'll Do :
Create and answer complex clinical questions to train AI in diagnostic and reasoning tasks.
Review and analyse AI model responses for clinical soundness, scientific rigour, and relevance.
Rank and assess AI outputs to identify strengths, weaknesses, and opportunities for improvement.
Provide expert feedback to help improve the quality, accuracy, and logic of AI-generated content.
You may be assigned to different projects based on your expertise and performance.
What We're Looking For :
Medical Degree : Completed or Pursuing
Clinical Experience : Hands-on experience in a healthcare setting; strong preference for practising or recently practising clinicians.
Subject Mastery : Ability to develop and critique complex, graduate-level medical reasoning tasks.
English Proficiency : Fluent in reading and writing, with minimal language errors.
Analytical Skill : Detail-oriented with the ability to evaluate medical content for accuracy and logical flow.
Compensation & Terms :
Base Rate : Up to $50 / hour USD, depending on qualifications, location, project type, and performance.
Location : Fully remote — available to candidates in supported geographies.
Schedule : Fully flexible — work as much or as little as you’d like.
Payouts : Weekly.
Apply Now!
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