1. A method, comprising: receiving multi-labeler data that includes data points labeled by a plurality of labelers; building a model from the multi-labeler data, wherein the model includes an input variable that corresponds to the data points, a label variable that corresponds to true labels for the data points, and variables for the labels given by the labelers, wherein the variables for the labels given by the labelers for a particular data point depend on the input variable that corresponds to that data point and the label variable that corresponds to the true label for that data point; and executing the model, in response to receiving new data points, to determine a level of expertise of the labelers for the new data points, wherein the method is performed using a processor.