Muse Group

qa specialist (manual) for music AI models

In short

This role involves manually evaluating the quality of AI models that process music notation and audio, contributing to QA and data labeling across OMR, Audio2Score, and Autograde systems, and building high-quality golden datasets. The company, Muse Group, builds music apps and learning tools and owns Hal Leonard, a sheet music publisher. It requires strong musical literacy, experience assessing OMR/audio-to-score transcription accuracy, and attention to detail checking datasets against ground truth. The work is remote, on a contract basis with negotiable hours.

About
Muse Group creates music apps for playing, recording, and composing, along with learning tools, music catalogs, and free open-source software. Hal Leonard, which joined Muse Group in 2023, publishes sheet music and music education materials and distributes musical instruments, gear, and software worldwide.
Responsibilities
•Evaluate the quality of AI models working with music notation and audio
•Contribute to QA and data labeling across OMR, Audio2Score, and Autograde
•Help improve models and build high-quality golden datasets
Requirements
•Strong musical literacy, including the ability to read and evaluate music notation, scores, and audio performances
•Experience judging the accuracy of OMR and audio-to-score transcription output
•Familiarity with structured, rubric-based QA scoring methodology
•Ability to evaluate multilingual lyrics, orchestral, ensemble, and solo scores, tabs, and chord notation
•Attention to detail when spot-checking datasets against ground truth
•Ability to provide structured written feedback for engineering and product teams
Conditions
•Contract basis; working hours to be discussed and agreed upon

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