Medical Fellow - Human Frontier Collective (UK)
Scale AI · United Kingdom · Remote (Growth only)
CHECKED 15H AGO
Infrastructureremote
At a glance
Highlights
- Design complex clinical scenarios to test AI safety and accuracy.
- Co-author research papers with Scale's team on medical AI.
- Shape AI reasoning frameworks with structured expert feedback.
What they offer
- Flexible 10-40 hour weeks, set your own schedule
- 6-month 1099 contractor role with potential for extension
- Co-author technical reports and research papers with Scale's team
- Join global interdisciplinary network with exposure to cutting-edge AI research
Ideal candidate
Board-certified physician or resident with sharp clinical reasoning who loves nuanced cases and collaborative research. Passionate about shaping safe, responsible medical AI alongside leading experts.
Requirements
- 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
- Strong clinical reasoning and writing skills, able to assess complex edge-case scenarios
- Detail-oriented, innovative thinker with commitment to collaboration
- remote policy
- Fully remote
- visa sponsorship
- Must be authorized to work in country of residence
- hiring process
- Rolling application review followed by brief domain challenge reflecting HFC work, interview on research experience and mission alignment, then invitation to join
Lab profile
About Scale AI
AI data foundry providing high-quality data for training, fine-tuning, and evaluating AI systems.
What they build
- Training, fine-tuning, and evaluation data for frontier models
- Multimodal and coding data for audio, image, video and world models
- Custom AI applications for enterprise and global public sector
Known for
- Leading data partner for frontier model developers
- Trusted across enterprise, defense and public sector
- Depth in multimodal, coding and physical AI
- End-to-end capability from strategy to delivery and evaluation
Key facts
- Founded in 2016
- Headquartered in San Francisco, California
- Private company backed by Accel, Founders Fund, Index Ventures, Nvidia and Meta