Julian Posada is a Ph.D. Candidate at the Faculty of Information, University of Toronto, and is affiliated with the Center for Critical Race and Digital Studies at New York University.
His research focuses on the “crowdsourcing” workers from Latin America who annotate data for machine learning and verify algorithmic outputs through labour platforms. He studies how this type of work affects social reproduction from three angles: the role of personal networks and institutions in supporting workers, the organization of workers’ communities and their shared resources, and the social inequalities reproduced in algorithmic and platform design.
Previously, he worked as a research assistant for the Schwartz Reisman Institute for Technology and Society and the Laboratory of Computer Science (LRI) at the French National Centre for Scientific Research (CNRS). He holds a master’s degree in sociology from the School for Advanced Studies in the Social Sciences (EHESS) and a maîtrise in the humanities from Sorbonne University.
Digital labour; political economy of platforms; social computing, sociology of social networks