The work
You will listen to 30 to 90 second field recordings and record structured observations through a project-specific web platform. Tasks include identifying instruments, estimating tempo and key, timestamping background sounds such as traffic or applause, and comparing recordings of the same song captured in different locations.
Evaluation work
You will also assess AI-generated descriptions of musical clips, mark inaccuracies, and give concise feedback tied to audible evidence. Screening is likely to test whether you can separate instruments and environmental events in complex audio, use music theory accurately, distinguish observation from inference, and apply annotation rules consistently across repetitive clips. No prior AI experience is required.
Preferred background
The listing prefers candidates with 3 or more years of hands-on experience as a musician, music teacher, producer, session player, or similar. Formal conservatory training or a degree in music theory or instrumental performance is highly desirable, while audio annotation, transcription, or sound analysis experience is preferred. Strong written and verbal English communication skills are also preferred.
Logistics
The role is remote and contractor-based. Annotation work appears primarily asynchronous, with a brief paid onboarding and calibration session plus short weekly online syncs. Typical weekly hours are not stated. You will need reliable access to high-quality headphones, a quiet workspace, stable internet, and the project web platform.
Pay band: $20–45/hr
