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Fully Funded SPAR AI Fellowship: Remote Research in AI Safety

Fully Funded SPAR AI Fellowship: Remote Research in AI Safety

Published on August 14, 2026

Summary

The Supervised Program for Alignment Research (SPAR) is currently accepting applications for its remote fellowship program. It pairs aspiring researchers worldwide with top experts from leading institutions (like Oxford, Cambridge, and major AI labs) to collaborate on cutting-edge research projects in AI safety, technical alignment, and AI policy.

🤖 Program: The Supervised Program for Alignment Research (SPAR) is accepting applications for a remote fellowship focused on AI safety, technical alignment, and AI policy.
🔬 Research Opportunities: Selected fellows are paired with experts from leading institutions, including Oxford, Cambridge, and major AI labs, to work on cutting-edge research projects.
💰 Funding: The program is 100% free, with no application or participation fees. Selected projects can receive up to $30,000 in research funding for compute and API resources.
🏆 Cash Prizes: Top-performing research teams can compete for $7,000+ in total cash prizes, awarded at the virtual Demo Day.
🌍 Eligibility: Applicants from all countries, including India, are eligible. Undergraduates, graduate students, software engineers, and mid-career professionals can apply.

Program Overview

Feature	Details
Program Type	Fellowship / Remote Research Program
Funding	Up to $30,000 (Compute & API Grants) + $7,000+ in Cash Prizes
Cost	100% Free ($0 application fee and zero participation costs)
Duration	3 Months (Mid-September to Mid-December)
Time Commitment	Part-time (~10–15 hours/week)

Subject Area

AI Safety, Technical Alignment, and AI Policy.

Location

100% Online & Remote.

Eligibility

Nationality: Open to international applicants from all countries worldwide.
Indian Applicants: Fully eligible to apply and participate remotely without visa requirements.
Academic/Professional Background: Open to undergraduates, graduate students, software engineers, and mid-career professionals.
Skills: No prior formal AI safety background is strictly required, though strong analytical, technical, or research skills are highly preferred.

Scholarship Description

The SPAR AI Fellowship is a fully remote, zero-cost research program designed to advance the field of AI safety. Selected projects receive significant research funding, including up to $30,000 to cover computational resources and API credits. Additionally, top-performing research teams will compete for a cash prize pool totaling over $7,000, which is awarded during the program’s final virtual Demo Day.