Music & Sound Annotation Expert
micro1Legit · not rated yetPosted on 2 Sep 2026
Pay: $30–45/hr
- Who can apply
- Countries not stated in the listing
- Hours
- 20–25 hrs/week · Freelance
- Where
- Remote, work from home
- Job type
- Data annotation
- Openings
- 10 openings
At a glance: A freelance, remote data annotation job with micro1. It pays $30–45/hr for 20–25 hours a week. The listing doesn't say which countries can apply.
Countries not stated
The posting doesn't say which countries can apply, so check before you apply. What micro1 says in general: Recruits worldwide apart from residents of 21 countries and regions, among them China, Russia, Ukraine, Iran, Venezuela and Ethiopia; some listings accept applicants from the US, UK or Canada only
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What happens after you click Apply
- You leave AI Trainer HQ and go to micro1’s own site.
- Pick a role, apply and answer the screening questions attached to it
- Sit the AI interview with Zara, spoken and recorded, about 20–40 minutes
- Complete a technical assessment if the role has one, then a hiring-manager review
- Take the offer, sign your Deel contract and clear the KYC identity check
How this pay compares
This job pays more than 58% of the 525 other languages & translation jobs on the board that state pay; 42% pay more.
- This job
- $38/hrMiddle of $30–45/hr
- Median on micro1
- $65/hrFrom 313 other paid jobs
- Median in languages & translation
- $37/hrFrom 525 other paid jobs
Requirements
- Qualifications
- Analytical listening
- Music theory knowledge
- Audio annotation
- Attention to detail
- Written communication
- Languages
- English
- Equipment
- Headset
- Reliable internet
About this job
Role Title: Music & Sound Annotation Expert
Role Type: Contractor
Location: Remote
micro1 is engaging Music & Sound Annotation Experts to contribute to a customer's project at the forefront of music and audio technology.
Your ears are the ground truth. You'll listen to short field recordings and document exactly what's audible — instruments, tempo, key, background sounds, crowd reactions — through a structured web platform built for this project. Later phases involve grading AI model answers against what you actually heard.
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
Listing history
- First seen on our board
- (today)
- Posted by micro1
- Last checked
- Source
- micro1
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