Remote AI Research Fellow, Frontier AI Network

Scale AI, Inc.; San Francisco (CA); Remote; USD 83,000 - 138,000; Full time

Job summary

Scale AI, Inc. and the Human Frontier Collective invite top AI researchers to join a fully remote fellowship. Fellows work on high-impact AI safety and policy guardrails, evaluate ML code, and design experiments in collaboration with Scale's lab and platform.

Ideal candidates are PhDs or senior researchers across STEM fields who can commit 10–25 hours per week, enjoy interdisciplinary collaboration, and contribute to publications with Scale's research team.

Qualifications

• Background: PhDs, postdoctoral researchers, and professors with domain expertise in STEM fields such as Computer Science, Machine Learning, Physics, Biology, Chemistry, Mathematics, Humanities, or other related disciplines.
• Professional Mindset: Detail-oriented, innovative thinker with a passion in applied AI research and a commitment to collaboration.

Responsibilities

• Project selection: You'll regularly get matched to carefully selected projects from our partners.
• Flexible schedule: There's no minimum commitment - you decide whether to take on a project.
• Most fellows spend 10-25 hours per week, on a schedule they set themselves.
• Competitive pay: Project pay rates vary across platforms and depend on a number of factors, including but not limited to: projects, scope, skillset, and location. You'll receive the pay information upon receiving project matching notifications.

Skills

Detail-oriented

Innovative thinker

Collaborative

Education

PhDs, postdoctoral researchers, or professors in STEM

Job description

Scale AI, Inc. and the Human Frontier Collective invite top AI researchers to join a fully remote fellowship. Fellows work on high-impact AI safety and policy guardrails, evaluate ML code, and design experiments in collaboration with Scale's lab and platform.

Ideal candidates are PhDs or senior researchers across STEM fields who can commit 10–25 hours per week, enjoy interdisciplinary collaboration, and contribute to publications with Scale's research team.