CUbRIK was a project that explored ways to increase precision and relevance of Artificial Intelligence algorithms. In the project, I investigated the potentials of crowdsourcing for multimedia retrieval in machine learning, with a special emphasis on task design and ethical implications. I was the leader of the work package on Human Computation, which entailed managerial and organizational responsibilities. The work in this project led to publications in top conferences and journals, such as this crowdsourced creative commons dataset and this crowdsourcing procedure for non-obvious attributes.