Professional Musician - Audio Annotation

Role Overview: We are looking for experienced global talent with a formal music degree/field of study and music-related performance, production, and audio engineering to support an AI annotation project focused on evaluating, reviewing, and improving content generated by AI systems. The client's research team is building training data to extend music source separation models beyond today's standard 4–6 stems. Annotators will listen to short audio clips and identify the instruments present, helping create a fine-grained dataset for next-generation audio separation research. Key Responsibilities: Listen to three 5-second audio segments drawn from different positions in the same track Identify the instrument family (e.g. Brass, Strings, Woodwind, Percussion, Keyboard) and the specific instrument playing. Identify the instrument family and the specific instrument in given tracks. Use reference examples grouped by family, shown alongside each task, to guide your answer. Follow detailed annotation guidelines and maintain high consistency and quality standards. Contribute to guidelines, reference materials, and quality improvement initiatives where required. Required Skills and Qualifications: Bachelor's degree in Music or related field. 3 years of experience in music-related performance, production, and audio engineering. Strong command of written and spoken English. Strong, trained ear for identifying instruments and instrument families by sound. Comfortable working independently against short, repetitive listening tasks (~1 minute per task). Experience with remixing, transcription, music information retrieval and AI/data annotation projects is an advantage. Reliable internet access and ability to work on the GALA annotation platform.