We expect you to be characterized by most of the qualities listed below.
You understand what good research support looks like. You’ve been close enough to serious intellectual or analytical work — whether in academia, policy, consulting, or a research organization — to know what separates an environment where researchers thrive from one where they flounder. You don’t need to be a researcher yourself, but you need to have seen the process from the inside.
You think in systems. You naturally ask: what structure would make this work better? You can look at a program, identify the friction points, and design solutions that are simple enough to actually work. You have a track record of building processes that others find useful rather than burdensome.
You’re an excellent communicator. You write clearly, explain things concisely, and give feedback that moves things forward. You’re proactive when you notice a problem and direct when something needs to be said.
You’re organized and conscientious. You keep complex, multi-stakeholder projects on track, follow through reliably, and maintain clear documentation. You’re receptive to feedback and improve your approach based on what you learn.
Interpersonally excellent. You’re a strong collaborator and stakeholder manager. You know how to work across Research Managers, mentors, fellows, and leadership without creating friction, and you take pride in helping others do their best work.
Mission-motivated. You are strongly aligned with CBAI’s mission and are familiar with AGI safety and catastrophic AI risks. You want to contribute meaningfully to reducing AI catastrophic risks and are passionate about accomplishing as much as possible.
Curious and adaptable. You’re genuinely interested in AI safety research even if you’re not a researcher yourself. You actively seek out tools and approaches that can improve fellowship effectiveness and stay current on developments relevant to the program.
The ideal candidate will have meaningful experience designing or improving programs, initiatives, or organizational systems. Experience in research-adjacent environments (labs, think tanks, or similar) is a strong plus. What matters most is that you’ve built things that worked and improved the work of others as a result.