SWE Fellow - Human Frontier Collective (UK)
Scale AI · United Kingdom · Remote (Growth only)
CHECKED 14H AGO
Infrastructureremotesenior
At a glance
Highlights
- Design complex problems to rigorously evaluate advanced generative AI systems.
- Co-author research papers with Scale's team to boost academic visibility.
- Join interdisciplinary network shaping the future of frontier AI.
What they offer
- Flexible 10-40 hour weeks with self-set schedule
- Professional development via review projects and advisory roles
- Collaboration with global network from leading institutions
- Opportunity to co-author technical reports and research papers
- 6-month independent contractor engagement with potential extension
Ideal candidate
Experienced software engineer or CS researcher with 5+ years depth who is detail-oriented, innovative, and passionate about applied AI research and collaborative discovery.
Requirements
- 5+ years of software engineering or related technical experience or equivalent academic expertise
- PhD, postdoctoral or faculty experience in Computer Science or related field as alternative
- Demonstrated coding proficiency and analytical abilities
- Deep expertise in Python, Java, Rust, Swift, JavaScript, or C++
- Detail-oriented, innovative thinker with passion for applied AI research
- remote policy
- fully remote
- hiring process
- Rolling application review followed by interview on research experience and mission alignment, then invitation to join; 90-day wait before reapplying for same role.
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