Application Guide

How to Apply for Fund, Multi-Agent Safety

at Cooperative AI Foundation

🏢 About Cooperative AI Foundation

The Cooperative AI Foundation is a unique charitable entity focused on improving the cooperative intelligence of advanced AI for societal benefit. Unlike typical AI research organizations, it explicitly targets system-level risks from multi-agent interactions, making it a pioneer in addressing safety gaps that arise when multiple AI agents operate together.

About This Role

This role involves managing a grant-making program to fund foundational research on multi-agent safety, including risks like collusion, conflict, and destabilizing dynamics. You will shape the research agenda, evaluate proposals, and support scientists working on critical AI safety challenges in a remote-first, impact-driven environment.

💡 A Day in the Life

A typical day might involve reviewing research proposals, meeting with potential grantees to discuss their work, and collaborating with the foundation team to refine funding priorities. You might also attend a virtual seminar on multi-agent safety, write a blog post about recent findings, or analyze emerging trends to inform strategic decisions.

🚀 Application Tools

Generate Cover Letter

AI-powered, tailored for Cooperative AI Foundation

Interview Prep

Practice questions for this role

🎯 Who Cooperative AI Foundation Is Looking For

  • Has deep expertise in AI safety, multi-agent systems, or related fields (e.g., game theory, emergent behavior) and can critically evaluate research proposals.
  • Possesses experience in research funding, grant-making, or program management, ideally within a philanthropic or non-profit context.
  • Demonstrates strong analytical and strategic thinking skills to identify high-impact research directions and assess risks.
  • Is comfortable working remotely and autonomously, with excellent communication skills to coordinate with researchers globally.

📝 Tips for Applying to Cooperative AI Foundation

1

Tailor your cover letter to explicitly connect your background to multi-agent safety risks (e.g., collusion, conflict) and the foundation's mission of cooperative intelligence.

2

Highlight any experience evaluating or funding technical research, especially in AI safety or multi-agent systems, with concrete examples of decisions you made.

3

Show strategic thinking by proposing a research area you'd prioritize and why it aligns with the foundation's goals.

4

Mention familiarity with the Cooperative AI Foundation's existing work (e.g., their research roadmap or published reports) to demonstrate genuine interest.

5

Use specific terminology from the job description (e.g., 'emergent collective dynamics', 'trustworthy agent infrastructure') to show you understand the technical domain.

✉️ What to Emphasize in Your Cover Letter

['Emphasize your understanding of system-level safety risks from multi-agent AI, not just individual agent alignment.', 'Highlight your grant-making or program management experience, with examples of how you assessed impact and managed a portfolio.', "Show alignment with the foundation's charitable mission and long-term perspective on AI risk.", 'Demonstrate your ability to work autonomously and collaborate with a distributed team of researchers.']

Generate Cover Letter →

🔍 Research Before Applying

To stand out, make sure you've researched:

  • → Read the Cooperative AI Foundation's published research and blog posts, especially their 'Cooperative AI' paper and any recent funding announcements.
  • → Familiarize yourself with key multi-agent safety literature, such as work on collusion in AI agents, reward hacking, and multi-agent reinforcement learning.
  • → Understand the broader AI safety ecosystem, including organizations like MIRI, OpenAI, and Anthropic, to contextualize the foundation's unique role.
  • → Review the foundation's current grantees and past funded projects to identify their research priorities.
Visit Cooperative AI Foundation's Website →

💬 Prepare for These Interview Topics

Based on this role, you may be asked about:

1 How would you evaluate a research proposal on emergent collusion between reinforcement learning agents?
2 What do you see as the most pressing system-level safety gap in multi-agent AI, and how would you prioritize funding?
3 Describe a time you had to make a tough decision about funding a risky but potentially high-impact project.
4 How do you stay updated on the latest research in multi-agent systems and AI safety?
5 What metrics would you use to measure the success of a grant program focused on foundational research?
Practice Interview Questions →

⚠️ Common Mistakes to Avoid

  • Avoid generic AI safety knowledge without specific focus on multi-agent or system-level risks.
  • Don't overlook the grant-making aspect; failing to highlight program management or funding experience can hurt your application.
  • Avoid proposing research directions that are already well-funded or outside the foundation's scope (e.g., individual AI alignment without multi-agent interaction).

📅 Application Timeline

⏰ Deadline: August 8, 2026

We recommend applying at least a few days early to avoid last-minute technical issues.

Typical hiring timeline:

1

Application Review

1-2 weeks

2

Initial Screening

Phone call or written assessment

3

Interviews

1-2 rounds, usually virtual

✓

Offer

Congratulations!

Ready to Apply?

Good luck with your application to Cooperative AI Foundation!

← Back to Job Listing Apply Now →