Medical Experts - Medical Doctor USA (MD, MBBS, MBChB, or Medical Diploma)
We are seeking experienced US-based Medical Doctors (MD) or international equivalent (MBBS, MBChB, Medical Diploma, etc.) to help evaluate and enhance large language model (LLM) outputs in the medical domain.
You’ll assess AI-generated clinical content for medical accuracy, safety, and relevance — contributing to the development of responsible AI in healthcare.
Perks of Freelancing with Turing:
Work on the cutting edge of AI.
Fully remote and flexible work environment.
Exposure to advanced LLMs and insight into how they’re trained.
Offer Details:
Engagement type: Contractor assignment/freelancer (no medical/paid leave).
Responsibilities
Review AI-generated medical text for accuracy, harmfulness, and completeness, with focus on medical field.
Evaluate diagnoses, treatment plans, and summaries for medical cases.
Provide expert feedback to improve medical integrity and safety of LLM outputs.
Collaborate with AI researchers and clinicians to align model performance with evidence-based medical standards.
Required skills
Strong attention to detail.
Technically savvy—able to navigate web-based annotation platforms, use image zoom/tools, follow detailed guidelines, and accurately complete structured questionnaires.
Experience and education
Medical Doctor (MD) or international equivalent (MBBS, MBChB, Medical Diploma, etc.).
Must be fully licensed and practicing medicine within the USA.
Minimum 1 year post-residency experience practicing as a Medical Doctor / General Physician (no specific specialization required).
Experience in medical content review, clinical research, annotation or AI/ML evaluation preferred.
Assessment requirements
Selected talents are required to take a client certification after onboarding, paid by Turing.
Schedule details
Commitment Required: Flexible and work at your own pace, at least 20 hours/week.
Thriveth makes AI data-training work easier to find, understand, and navigate. We replace uncertainty with clear opportunities, realistic expectations, and insights from real application journeys.