The Music Enthusiasts platform aims to improve the gathering and study of the so-called “ground truth” data for machine learning models of emotions in music. We offer a citizen science approach with two objectives: i) provide learning resources for our participants on general notions of musical properties and their relation to emotions, and ii) incentivize engagement with our platform by rewarding users with music recommendations. In a nutshell, our annotation tool targets enhancing interdisciplinary discussions regarding music emotion annotation and analysis.