Music & Sound Annotation Expert
Quick facts
- Pay
- $30 - $45/hour
- Type
- Part-time
- Location
- Remote
- Hours
- 20–25 hours / week
- Background
- Students welcome
- Platform
- Micro1 — 302 open jobs
- Typical pay at Micro1
- $20–250/hour · median $65 (297 jobs on our site)
- Payout
- Deel (twice a month)
- Apply
- Free to apply — never pay to get AI training work
What you'll do
Listen to 30–90 second field recordings (headphones, your own quiet workspace) and complete structured annotations: which instruments are present, tempo and key, timestamps of background events (traffic, sirens, applause), scene details
Compare paired recordings of the same song captured at different locations and judge what stayed the same and what changed
In later phases: review AI model descriptions of clips and mark what's correct, wrong, or invented, with a brief written explanation
Attend a paid onboarding/calibration session and a short weekly sync
Who we're looking for (any of these backgrounds)
Working or gigging musicians, session players, producers, or mixing engineers
Music educators, ear-training instructors, band/choir directors, conservatory students or graduates
Location sound recordists, sound designers, foley artists, or podcast/documentary audio editors
Requirements
3+ years of hands-on music or audio experience
Strong analytical listening: you can pick individual instruments out of a busy, noisy, real-world mix — not just studio recordings
Can identify tempo (within a few BPM) and musical key (relative pitch with a reference is fine)
Comfortable with detail-oriented, repetitive annotation work in a web platform — dropdowns, timestamps, short structured notes
Clear written English for brief, evidence-based notes (e.g., "accordion enters around 0:12")
Quality headphones, quiet workspace, reliable internet
Available 20–25 hrs/week for the engagement window
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micro1 recruits engineers and domain experts for AI labs using its AI interviewer. Once vetted, contractors work on human-data projects such as writing and checking model outputs or building coding evaluations.