The Center for AI Safety (CAIS) is a leading research and advocacy organization on a mission to reduce societal-scale risks from AI. We tackle the toughest AI issues with a mix of technical and policy solutions, working with our sister organization, the CAIS Action Fund. As part of our mission, we are building a network of skilled contributing writers to support our growing content needs. We are looking for technical writers with experience in machine learning who can help to communicate results in technical AI safety research to a broad audience.
Technical writing opportunities:
Editing and drafting sections of research papers, turning research results into a polished final output
Writing and curating the ML Safety Newsletter, which covers developments in machine learning/ technical AI safety for a research audience
You'll thrive in this role if you:
Are deeply interested in the latest research in machine learning and its implications for AI safety
Enjoy writing about machine learning research and excel at distilling the main insights from machine learning research papers in a precise yet accessible style
Uphold rigorous standards of accuracy, even in a fast-paced environment
Appreciate a structured editorial process and welcome constructive feedback
