Type: Fixed-term, project-based
Location: Remote (Ideally some overlapping hours with UTC−7 and UTC+2)
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About the role
Technical AI Governance Research (TAIGR) sits at the intersection of technical research and policy, and the field is moving fast. We (Anka Reuel, supported by Apart Research and Talos Network) supported by are producing an updated edition of the Open Problems in Technical AI Governance agenda.
We are looking for a Co-Lead Author to own this update end to end. The existing taxonomy and structure have held up well, so the core of the work is refreshing the problem list: surveying what has happened since the last edition, coordinating contributions from domain experts, and weaving everything into a single, coherent paper.
This is a strong entry point for someone moving from technical work into AI governance, or an early-career researcher looking to establish themselves in the field and build a network across it.
This paper will be the input for the Partnered Fellowship between Apart Research and Talos Network, supported by Anka Reuel. Therefore the paper will heavily influence future work in Technical AI Governance.
What you would do
- Own the update from first draft to a publication-ready manuscript.
- Co-Lead the paper creation together with Anka Reuel for 3-4 months.
- Survey recent technical and governance literature and identify the developments that belong in each problem area (as defined in the original paper).
- Reach out to and coordinate contributors across sub-areas: conducting interviews, collecting notes, drafts, and pointers, then synthesizing them into finished sections. As a ballpark, we expect contributions from 30-40 experts to the final paper.
- Unify many contributors' input into one consistent voice and a clean, readable whole.
- Keep the project on track: managing timelines, following up with contributors, and integrating feedback from advisers.
What we look for
- A strong writer who can turn scattered notes and uneven drafts into a single, polished paper. This is the most important skill.
- A capable generalist: enough breadth across technical AI governance to read a topic, grasp its core, and write it up clearly. You do not need to be a specialist in every area.
- A strong communicator. As part of this project, you’ll be interacting with a variety of stakeholders (junior and senior researchers, stakeholders with technical and non-technical backgrounds, …).