Legal Fellow - Human Frontier Collective (US)
Scale AI · United States · Remote (Growth only)
CHECKED 15H AGO
Infrastructureremote
At a glance
Highlights
- Design complex scenarios evaluating AI outputs for regulatory alignment.
- Provide feedback improving AI performance in litigation and contracts.
- Co-author research papers boosting academic visibility with Scale team.
What they offer
- Flexible 10-40 hour weeks with self-set schedule
- Co-author technical reports and research papers with Scale's research team
- Collaborate with global interdisciplinary network advancing responsible AI
- Professional development via review projects, advisory roles and AI tools experience
Ideal candidate
Detail-oriented legal thinker passionate about shaping frontier AI, eager to apply legal judgment to real-world challenges and collaborate with an interdisciplinary research community.
Requirements
- JD, LLM, or currently enrolled in 2L/3L program
- Bar admission in any jurisdiction strongly preferred
- Experience as Attorney, Associate, Legal Analyst, Counsel, Law Clerk, In-House Counsel, Legal Researcher, or Law Professor
- Expertise in legal research, regulatory frameworks, constitutional law, case law interpretation and drafting legal briefs
- Authorized to work in the United States
- remote policy
- Fully remote
- visa sponsorship
- No visa sponsorship available
- hiring process
- Rolling application review followed by brief domain expertise task, interview on research background and mission alignment, then invitation to join the Collective.
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