ABOUT US
FAR.AI http://FAR.AI is a non-profit AI research institute working to ensure advanced AI is safe and beneficial for everyone. Our mission is to facilitate breakthrough AI safety research, advance global understanding of AI risks and solutions, and foster a coordinated global response.
Since our founding in July 2022, we've grown to 50+ staff https://www.far.ai/about/team, published 40+ academic papers https://scholar.google.com/citations?user=FVJ24k8AAAAJ, and convened leading AI safety events https://far.ai/events/. Our work is recognized globally, with publications at premier venues such as NeurIPS, ICML including a Best Paper Honorable Mention in 2026 https://icml.cc/virtual/2026/oral/71065, and ICLR, and features in the Financial Times https://www.ft.com/content/175e5314-a7f7-4741-a786-273219f433a1, Nature News https://www.nature.com/articles/d41586-024-02218-7, Wired Magazine https://www.wired.com/story/jailbreaking-ai-models-google-anthropic-openai-spacexai/ and MIT Technology Review https://www.technologyreview.com/2020/02/28/905615/reinforcement-learning-adversarial-attack-gaming-ai-deepmind-alphazero-selfdriving-cars/. We conduct pre-deployment testing on behalf of frontier developers such as OpenAI, independent evaluations for governments including the EU AI Office https://www.far.ai/news/far-ai-selected-to-lead-eu-ai-act-cbrn-risk-consortium, and publish the AI Security Leaderboard https://leaderboard.far.ai/ based on our red-teaming expertise. We help steer and grow the AI safety field through developing https://arxiv.org/abs/2405.06624 research https://arxiv.org/abs/2506.20702 roadmaps https://www.researchgate.net/publication/396910034_Open_Technical_Problems_in_Open-Weight_AI_Model_Risk_Management with renowned researchers such as Yoshua Bengio; running FAR.Labs https://www.far.ai/programs/far-labs, an AI safety-focused co-working space in Berkeley housing 40+ members; and supporting the community through targeted grants https://www.far.ai/programs/grantmaking to technical researchers.
About the role
FAR.AI http://FAR.AI engages a wide range of people working to make AI safer and more beneficial to society, from researchers and frontier AI developers to policymakers and government agencies. Through our global events, FAR.Labs community space, research collaborations, and safety testing engagements, we bring together people working on some of the field's most important challenges. But these relationships and activities can be fragmented. People working on similar problems don't always connect, and promising ideas and collaborations don't always progress beyond individual engagements.
We're looking for a Community Lead to help close these gaps and build a stronger, more connected global AI safety community. You'll shape FAR.AI http://FAR.AI's community strategy, identifying where we can have the greatest impact, setting priorities, and developing approaches that turn relationships into meaningful collaborations and greater adoption of important safety research.
You'll build on FAR.AI http://FAR.AI's established Bay Area community and global network, strengthening relationships across organizations and geographies. This means understanding who we should engage, creating opportunities for people to connect and collaborate, and ensuring promising relationships and ideas are supported beyond individual events and programs.
You'll own FAR.AI http://FAR.AI's overarching community strategy and work closely with the Futures, Research, and Communications teams to put it into practice. You'll also manage our existing Community Manager, who leads day-to-day programming at FAR.Labs and supports our local Bay Area community.
Success in this role means building a community that advances AI safety through sustained relationships, productive collaborations, and real-world impact, rather than simply increasing participation or the number of events we run.
You will report to the Head of Programs.
What you’ll do
Set…