SWE Fellow - Human Frontier Collective (Canada)
Scale AI · Canada · Remote (Growth only)
CHECKED 15H AGO
Infrastructureremotesenior
At a glance
Highlights
- Design complex problems to rigorously evaluate advanced generative AI models.
- Co-author technical reports and research papers with Scale's research team.
- Collaborate with partner AI labs on high-impact frontier AI projects.
What they offer
- Flexible 10-40 hour weeks with self-set schedule
- Co-author technical reports and papers with Scale's research team
- Collaborate with global network of academics and experts
- 6-month 1099 contractor engagement with potential for extension
- Professional development via review projects and advisory roles
Ideal candidate
Seasoned software engineer or researcher passionate about applied AI who thrives on complex problem-solving, collaboration, and advancing responsible frontier models alongside leading thinkers.
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
- Demonstrated coding proficiency and analytical abilities with deep expertise in Python, Java, Rust, Swift, JavaScript, or C++
- Detail-oriented, innovative thinker passionate about applied AI research and collaboration
- Authorized to work in Canada
- remote policy
- Fully remote
- visa sponsorship
- No visa sponsorship available
- hiring process
- Rolling application review, interview with HFC team on research experience and mission alignment, invitation to join the Collective; 90-day wait for reapplication to 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