Job description
Collective Intelligence Project • San Francisco Bay Area
About CIP
The Collective Intelligence Project builds infrastructure that gives people across the globe meaningful input into how AI systems are developed and governed. We combine large-scale deliberation, participatory evaluation, and institutional partnerships in a way no lab, regulator, or civil society organization can achieve alone.
We're a small, high-leverage team backed by leading foundations (Google.org, Omidyar Network, Future of Life Foundation, Robert Wood Johnson Foundation) working with top AI labs and governments to ensure AI development expands democratic capacity rather than undermining it.
About the Role
We are hiring a product engineer to build and maintain full-stack platforms enriched with copious data, rich visualizations and easily-navigable user experiences. The overarching challenge is one of articulating complex and sometimes overwhelming data in a way that can be understood by mainstream audiences, journalists, academics, and fellow engineers.
You'll start by spending most of your time continuing to build out Weval (weval.org), our evaluation platform that's being used by AI labs and governments to assess frontier models on questions automated benchmarks can't answer—like whether a model handles mental health crises safely, gives accurate legal advice in Indian languages, or exhibits political bias.
You'll also work on other CIP projects like Global Dialogues (70+ countries gathering public input on AI), Digital Twin evaluations (testing whether AI agents accurately represent people), and experiments with partners deploying democratic AI governance tools in the real world.