Research Fellow (1-Year): Technology, Work, and Economic Change

About the Role

Our mission is to scale intelligence to serve humanity. We’re training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of AI. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. We like to work hard and move fast to do what’s best for our customers. Cohere is a team of researchers, engineers, designers, and more, who are passionate about their craft. Each person is one of the best in the world at what they do. We believe that a diverse range of perspectives is a requirement for building great products. Join us on our mission and shape the future! Cohere Labs is the dedicated research arm of Cohere. Our mission is to tackle foundational questions in artificial intelligence by bringing together researchers across disciplines to study not only how AI systems are built, but how they reshape economies, labor markets, and institutions. As AI technologies rapidly diffuse into the economy, there is an urgent need for rigorous, theory-informed, and empirically grounded research on their implications for productivity, inequality, skills, organizational design, and the future of work. This role is designed to create space for exactly that kind of work. The Research Fellow (Future of Work & AI) position is a 1-year, full-time research appointment aimed at advanced PhD students, postdocs, or early-career researchers in economics, political economy, public policy, or related social sciences who want to engage deeply with frontier AI systems while maintaining scholarly independence and publication-oriented research.

Responsibilities

• Conduct rigorous, theory-informed, and empirically grounded research on the implications of AI technologies for productivity, inequality, skills, organizational design, and the future of work.
• Engage deeply with frontier AI systems while maintaining scholarly independence and publication-oriented research.

Requirements

• A PhD (or are an advanced PhD candidate) in Economics, Political Economy, Public Policy, or a closely related field
• Strong training in economic theory, econometrics, or applied micro / macro
• A demonstrated research interest in technology, innovation, labor, growth, or institutions
• A publication record (or pipeline) in peer-reviewed academic venues
• An interest in engaging seriously with AI systems and their real-world deployment
• A desire to collaborate across disciplines while retaining intellectual independence

Qualifications

• Want to study AI as a general-purpose technology, not just a tool
• Enjoy connecting theory to emerging empirical realities
• Care about the long-run societal consequences of technological change
• Are interested in shaping conversations at the intersection of academia, industry, and policy
• Value mentorship, open science, and collaborative research cultures