Currently working as a machine learning intern at a well-known tech company in the Bay Area. A huge problem we have is acquiring labeled data. We simply don’t have the time or resources to go through tens of thousands of pieces of data and label them individually. Currently, we employ a sort of semi-supervised learning to get this done. As I look forward in my career and to other places, I was wondering… is this a problem that anyone else faces? How big of a problem is this?