Kristen Swanson to Lead Anthropic Education Labs as Company Expands AI Learning Research

Kristen Swanson has been appointed to lead the newly formed Education Labs at Anthropic, an initiative dedicated to exploring how individuals build capability and fluency with artificial intelligence. The team is currently recruiting for key roles, including an education researcher and a design engineer, to conduct product experiments and research linked to the Claude AI model. This move signals a strategic shift for the EdTech sector as major AI developers move beyond tool provision toward formalizing the study of human-AI collaboration and skill development.

Kristen Swanson announced her new role leading Anthropic’s Education Labs via LinkedIn, outlining a mission to help users develop AI fluency alongside personal agency. The team is currently expanding with the recruitment of an education researcher and a design engineer for its offices in San Francisco and New York City. These positions command significant investment, with annual salary ranges listed between $300,000 and $405,000. Anthropic’s approach emphasizes a hybrid work model, requiring staff to be in-office at least 25 percent of the time, while offering visa sponsorship for eligible candidates.

The Education Labs initiative represents a distinct philosophy in the EdTech space, as Anthropic explicitly states a skepticism toward traditional onboarding flows, tutorials, and engagement-based metrics. Instead, the team focuses on creating tools and experiences that make users progressively more capable and empowered over time. The design engineer will serve as the second technical builder on this small team, tasked with bridging the gap between research and product by building end-to-end prototypes and translating findings on human-AI collaboration into functional features for the Claude platform.

Complementing the engineering side, the new education researcher will be the first dedicated post of its kind at the company, responsible for designing mixed-methods studies to measure real skill growth rather than simple user retention. This role involves building and validating instruments to evaluate AI fluency and working closely with the broader product team to translate research into curriculum and experimental features. By prioritizing capability growth, Anthropic aims to define a new standard for how AI companies support learning and professional development in an increasingly automated landscape.