The dirty little secret in much of artificial intelligence today is that it depends on hordes of unskilled workers to label the data used to train supervised learning models. In order to efficiently do that work, in order for data science teams to work with each other and with labelers around the world, they need a platform and tools. This week, in the second of a periodic series of sponsored episodes, I talk to Manu Sharma and Brian Rieger, who saw the opportunity to provide that platform and founded Labelbox, the leading labelling software.