
Chief AI Officer of Meta
A data-infrastructure founder whose career connects the training and evaluation of AI models with leadership of Meta’s AI organization.
Alexandr Wang is an American technology entrepreneur who founded Scale AI and later joined Meta to lead its AI organization. He attended the Massachusetts Institute of Technology before leaving to build Scale in 2016. His initial contribution to AI centered on data preparation and the operational infrastructure supporting machine learning.
Scale developed services for labeling data, collecting feedback, and evaluating model behavior. These activities help turn raw information into material that model developers can use in training and assessment. Wang’s role was to build the company and its services; the underlying research and delivery involved a much larger workforce and partner ecosystem.
In 2025, Scale announced a major investment and expanded relationship with Meta, alongside Wang’s move to Meta’s AI effort. He remained a director on Scale’s board. His career illustrates the importance of infrastructure around models: data quality and evaluation affect what systems can learn, while organizational leadership determines how research resources are assembled and applied.
Founder and CEO