SPAR AI Fellowship: Free Remote Research Program in AI Safety & Governance

Are you interested in AI safety, technical alignment, or AI policy? The Supervised Program for Alignment Research (SPAR) is a remote fellowship program designed for aspiring researchers worldwide. SPAR pairs selected mentees with top experts from leading institutions (such as Oxford, Cambridge, and major AI labs) to work on cutting-edge research projects.

Funding & Cost Details

• 100% Free Program: $0 application fees and zero program participation costs.
• Compute & API Grants: Selected projects receive research funding (up to $30,000) to cover computational resources and API credits.
• Cash Prizes: Top-performing research teams compete for cash prizes ($7,000+ total pool) awarded during the final virtual Demo Day.

Eligibility

• International Applicants: Open to candidates from all countries worldwide.
• Indian Applicants: Eligible to apply and participate remotely without visa requirements.
• Background Requirements: Open to undergraduates, graduate students, software engineers, and mid-career professionals. No prior formal AI safety background is strictly required, though strong analytical, technical, or research skills are preferred.

Schedule

• Format: 100% online and remote (part-time commitment: ~10–15 hours/week).
• Application Window: Open now through August 18.
• Program Duration: Mid-September to Mid-December (3 months).