AI Voice Model Trainer - Vocalist (Smule)

Selected as one of a small cohort of professional vocalists to participate in a cutting-edge voice AI training project for Smule, a leading social singing app with over 50 million users worldwide.

Key responsibilities:

Recording a large dataset of high-quality vocal performances across various styles and vocal techniques to help train machine learning models.
Following precise recording specifications to ensure consistency, accuracy, and usability of the data for AI voice synthesis.
Collaborating with researchers and developers by providing feedback on vocal takes, phrasing, and tonal delivery to support the refinement of synthetic voice technology.
Leveraging years of professional studio experience to deliver clean, nuanced vocal recordings efficiently and to a high standard.
This role combined creative performance with technical precision to support the development of next-generation voice technologies in the music and AI space.