Scale AI Medical Fellow at Scaleai's Human Frontier Collective applying clinical expertise to design, evaluate, and interpret advanced generative AI systems. Collaborate on high-impact projects and contribute to research publications remotely.
Responsibilities
Collaborative Work: Get invited to engage in high-impact projects with our partnered AI labs and platforms. Design complex clinical scenarios, evaluate model decision-making for safety and accuracy, and shape reasoning frameworks through structured, example-driven feedback.
Join the HFC Community: Beyond the work, you’ll become part of a supportive, interdisciplinary network of innovators and thought leaders committed to advancing frontier AI across domains.
HFC Community: Beyond the work, you’ll become part of a supportive, interdisciplinary network of innovators and thought leaders committed to advancing frontier AI across domains.
Contribute to Research Publications: Collaborate with Scale’s research team to co-author technical reports and research papers—boosting your academic visibility and professional recognition (e.g., SciPredict, PropensityBench, Professional Reasoning Benchmark).
Who Should Apply
Education: Medical degree required (MD, DO) with board certification; open to residents, practicing clinicians, or those with extensive clinical experience.
Specialties: Internal medicine, emergency medicine, radiology, surgery, psychiatry, and related fields.
Skills: Strong clinical reasoning and writing skills, with the ability to assess complex, nuanced, or edge-case scenarios.
Professional Mindset: Detail-oriented, innovative thinker with a passion for financial technology and a commitment to collaboration. Prior experience with AI is not required, but a plus.
Why Join the HFC?
Advance Medical AI Solutions: Apply your clinical expertise to tackle complex, real-world healthcare challenges where your judgment shapes advanced AI reasoning and patient care decisions.
Professional Development: High-impact medical experts expand their influence through review projects, advisory roles, and research—while deepening their AI expertise, enhancing clinical reasoning skills, and gaining hands-on experience with cutting-edge healthcare AI technologies.
Qualification
Medical degree required (MDOpen to residentsAbility to assess complexPrior experience with AI
Required
Medical degree required (MD, DO) with board certification
Open to residents, practicing clinicians, or those with extensive clinical experience
Strong clinical reasoning and writing skills
Ability to assess complex, nuanced, or edge-case scenarios
