SWE Fellow - Human Frontier Collective (US)
Scale AI · United States · Remote (Growth only)
CHECKED 15H AGO
InfrastructureremoteSenior
At a glance
Highlights
- Design complex domain-specific challenges to rigorously evaluate frontier AI models.
- Collaborate with leading AI labs to improve model accuracy and reasoning.
- Co-author technical reports and papers with Scale's research team.
What they offer
- Flexible 10-40 hour weeks with self-set schedule
- Co-author technical reports and research papers
- Collaborate with global interdisciplinary network of leading AI experts
- Professional development through review projects and advisory roles
Ideal candidate
Experienced software engineer or CS researcher who is detail-oriented, innovative and collaborative, with a passion for applied AI research and shaping frontier models alongside leading thinkers.
Requirements
- 5+ years of software engineering or related technical experience or equivalent academic expertise through PhD, postdoctoral research, or faculty experience in Computer Science or related field
- Demonstrated coding proficiency and analytical abilities with deep expertise in Python, Java, Rust, Swift, JavaScript, or C++
- Detail-oriented, innovative thinker with passion for applied AI research and commitment to collaboration
- Must be authorized to work in the United States
- remote policy
- Fully remote within the United States
- visa sponsorship
- No visa sponsorship available
- 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