Distinguished Medical Expert AI Tutor

### Description Join a leading AI lab’s cutting-edge GenAI team and help build foundational AI models from the ground up. We are seeking niche Distinguished Medical Experts across a range of advanced medical specialties to bring deep domain expertise and elevate the quality of AI training data. These experts should have spent time pursuing direct research on new techniques in their sub-domain. More specifically, this includes specialties that have deep overlap with molecular biology, genetics, AI, biotech, advanced imaging, robotics, novel therapeutics, or rare disease research. This is a W2 employment opportunity with a long-term contract, flexible 10–40 hours per week, working directly with frontier AI research teams. You’ll join a team of medicine leaders to and together, you’ll guide the next generation of medical AI toward real-world safety, precision, and impact. ### Frontier Research & Technique Development Domains of Interest - Infectious Disease (emerging pathogens, antimicrobial resistance, pandemics) - Endocrinology (genetics of diabetes/obesity, metabolic engineering) - Nephrology (artificial kidneys, transplant immunology) - Rheumatology / Clinical Immunology (autoimmune disease, biologics, immunogenomics) - Pulmonary / Critical Care Medicine (ARDS, ECMO, long-COVID, lung transplantation) - Geriatric Medicine (aging biology, senolytics, lifespan extension) - Neurosurgery (brain–machine interfaces, microsurgery, neuro-oncology) - Cardiothoracic Surgery (artificial hearts, xenotransplantation) - Vascular Surgery (robotics, endovascular innovation) - Plastic & Reconstructive Surgery (tissue engineering, transplantation) - Pediatric Subspecialties including Neonatology & Pediatric Hematology-Oncology - Neurology & Subspecialties (stroke, epilepsy, neurodegeneration, neuromuscular medicine) - Psychiatry (neuropsychiatry, addiction, computational psychiatry) - Medical Genetics & Genomics (CRISPR, rare diseases, precision medicine) - Dermatology (immunodermatology, melanoma, genetic skin disease) - Pathology (molecular & computational pathology, AI in histology) - Radiology (diagnostic & interventional, theranostics, imaging AI) - Nuclear Medicine (theranostic agents, PET tracers) - Anesthesiology / Pain Medicine (novel anesthetics, neural modulation, consciousness science) - PM&R (Rehabilitation Medicine) (exoskeletons, robotics, neuroplasticity) - Preventive Medicine (genomics, pandemic preparedness, climate-health interface) - Transplant Medicine (immunotolerance, organ regeneration, xenotransplantation) - Palliative Care (digital symptom tracking, AI for comfort care) - Clinical Informatics (AI/ML, decision support, big data in healthcare) - Oncology (Medical, Hematology-Oncology, Radiation Oncology, Surgical Oncology) - Cardiology (especially Interventional & Electrophysiology) ### What You’ll Do - Guide research teams to close knowledge gaps and improve AI model reasoning in your domain. - Develop annotation standards, evaluation frameworks, and high-rigor rubrics for clinical reasoning. - Design challenging, domain-relevant tasks and write gold-standard solutions. - Evaluate AI-generated outputs, providing structured feedback to ensure medical accuracy. - Collaborate with peers across disciplines to maintain consistency and depth in training data. ### Qualifications - Location: Based in the US - Education: MD or DO from a reputable institution - Experience: 5+ years of post-training clinical practice in one of the listed frontier specialties (top-tier institution preferred) - Sub-speciality Research: Currently a leader in your sub-area, or actively furthering research in your domain to where little in the world can speak to your progress ### What We Offer - Pay range: $150–$500/hr (based on specialty and experience) - Role length: Long-term (6–12 months) - Structure: W2 employment with flexible, remote work - Commitment: ~10–40 hrs/week; 2–5 calibration calls with research teams weekly - Opportunity to directly shape the next generation of advanced AI systems at the frontier of medicine and technology