Music and Audio experts
Listing checked August 25, 2026 · pay as published by Turing
Overview
Turing, based in San Francisco, California, supplies frontier AI labs and global enterprises with high-quality training data and specialized researchers. This project recruits music professionals to evaluate AI-generated audio by naming the instrument family and the specific instrument heard in short clips. The work is fully remote, with flexible hours inside a two-day window, and strong performers may receive additional project work. Candidates begin with a 15-minute qualifying assessment before onboarding, and formal music education plus experience in audio engineering or production is expected.
What You'll Do6
- 1Listen to short audio clips and classify the instrument family, choosing from Strings, Brass, Woodwind, Percussion, Keyboard, and related groups.
- 2Identify the exact instrument heard in each clip, not just the broader family.
- 3Use the provided audio references to support and calibrate your decisions.
- 4Follow the annotation guidelines so every submission stays consistent and accurate.
- 5Complete the 15-minute qualifying test before project onboarding begins.
- 6Deliver focused work across the two-day project window, meeting the expected volume for a full push.
Requirements6
- 1Bachelor's degree in Music or a related discipline.
- 2At least 3 years of hands-on experience in music performance, production, audio engineering, or similar work.
- 3A trained ear with the ability to recognize instruments and instrument families by sound alone.
- 4Strong written English communication skills.
- 5Comfort with repetitive, focused listening tasks and working independently in a remote setup.
- 6Bonus qualifications include transcription, remixing, music information retrieval, or prior AI/data annotation experience.
Who Should Apply
The ideal candidate is a music professional with a bachelor's degree or equivalent formal training and at least 3 years of performance, production, or audio engineering experience who can name instruments by ear. This role suits people who can sustain concentration during repetitive listening and follow annotation rules without supervision. Musicians who prefer creative or collaborative work over focused categorization tasks, or who cannot commit to the two-day project window, will find this role a poor fit. Candidates often score low on fit when they cannot distinguish similar instruments within a family or when they treat the 15-minute qualifying test as a formality and submit inconsistent labels.
Salary Insight
Up to about $150-$160 for a full push across the 2-day project window, paid in USD.
Pay and demand for AI Training roles
AggregatedTypical pay
$70/hour
This role
$0.2K ≈ $0/hr
Most AI Training roles pay $40–$98 per hour. This role's pay sits below that range.
Based on 1,035 similar roles that publish pay · 302 publish only a top rate; those count at the rate they gave
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Most requested skills · share of roles
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- data annotation9%
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Compensation
$0.2K
Required Skills
Application Tip
Before starting the 15-minute qualifying test, practice identifying instruments from each major family with short audio clips and review the annotation rubric for naming exact instruments. On the test, prioritize consistent labeling over speed, since annotation accuracy is the main fit signal for this project.
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