Musician – Audio Annotation Project at Turing

Musician – Audio Annotation | Pay Per Task | Worldwide Remote

Turing is seeking experienced professional musicians to support a short-term AI audio annotation project focused on instrument and stem identification. This is a fully remote, pay-per-task contractor role ideal for musicians with strong ear training and a background in performance, production, or audio engineering.

About Turing

Based in San Francisco, Turing is the world's leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing helps clients build high-quality training data and advanced AI pipelines across coding, reasoning, STEM, multimodality, and more.

Role Overview

The client's research team is building training data to extend music source separation models beyond today's standard 4–6 stems. As an annotator, you will listen to short audio clips and identify the instruments present, contributing to a fine-grained dataset for next-generation audio separation research.

Key Responsibilities

• Listen to three 5-second audio segments drawn from different positions within the same track.
• Identify the instrument family (e.g., Brass, Strings, Woodwind, Percussion, Keyboard) and the specific instrument playing.
• Use provided reference examples grouped by family to guide your annotations.
• Follow detailed annotation guidelines and maintain high consistency and quality standards.
• Contribute to guidelines, reference materials, and quality improvement initiatives as needed.

Required Qualifications

• Bachelor's degree in Music or a related field.
• Minimum 3 years of experience in music performance, production, or audio engineering.
• Strong, trained ear for identifying instruments and instrument families by sound.
• Strong command of written and spoken English.
• Comfortable working independently on short, repetitive listening tasks (~1 minute per task).
• Reliable internet access and ability to work on the GALA annotation platform.

Nice to Have

• Experience with remixing, transcription, or music information retrieval.
• Prior involvement in AI or data annotation projects.

Offer Details

• Compensation: Pay Per Task
• Employment Type: Contractor (no medical or paid leave benefits)
• Contract Duration: 2 days
• Work Environment: Fully remote and flexible

Evaluation Process

Interested candidates must complete an assessment as part of the application. Shortlisting is based on qualifications and relevant professional experience.