Label.Art is an open-source software solution built for crowd-sourced data annotation, built for artists by artists. In order to train comprehensive AI models we need lots of accurately labeled data. This accurately labeled data is often hard to find or difficult to outsource. Our software aims to connect those with unique data sets with knowledgeable individuals who can accurately annotate the data. We focus on building tools to help humans train algorithms using audio, images, text, time-series, and multi-domain data.