Music and Audio experts
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.
Location
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.
See NearSkill jobs more often in your search
How your application is processed
1Application received
Your resume and details are logged the moment you apply.
2ATS + eligibility screening
We check your profile against the role’s skills, seniority, and requirements.
3Employer sees qualified profiles only
Only candidates who clear screening move forward.
Similar open positions
Explore active roles that match your skills and interests.
Micro1
VerifiedMusic & Sound Annotation Expert
At micro1, your ears become the ground truth for a project shaping music and audio AI. You'll listen to 30-90 second field recordings captured in the wild, then document exactly what you hear through a structured web platform. That means logging instruments, tempo, key, and timestamping background events like traffic or applause. In later phases, you'll grade AI model descriptions against your own listenings, marking what's correct, wrong, or fabricated. You'll start with a paid onboarding session and keep a short weekly sync to stay calibrated. This role suits someone with strong analytical listening skills and solid music theory knowledge.
Micro1
VerifiedAudio Expert
This contractor role places you on an AI training project that demands precise transcription of polyphonic recordings. You will separate soprano, alto, tenor, and bass lines from mono audio and reconstruct them as exact MusicXML scores. The work goes beyond standard notation: you will identify pitch, onset, duration, rests, and re-articulations, and apply correct key signatures and enharmonic spelling. You will also use Python to inspect audio spectra and automate parts of the transcription workflow. A flexible, fully remote schedule of about 15 hours per week lets you choose your hours, including weekends.
Turing
VerifiedDomain Expert- Music
This contractor role focuses on refining large language models through expert-level music knowledge. You will create advanced prompts that span music theory, genres, composers, artists, production, and instruments. Work involves assessing AI outputs for factual accuracy, reasoning quality, and completeness, while documenting shortcomings with evidence. You will also build benchmark datasets and adversarial test cases to expose edge cases. The position requires a 40-hour weekly commitment with at least 4 hours of PST overlap.
Micro1
VerifiedData Annotator
Join micro1 as a Data Annotator and play a key role in refining how AI systems learn from real-world audio and video. In this remote contract position, you'll apply your keen eye for detail to label and validate content, directly shaping model accuracy—no prior AI background required, just your domain expertise.
Micro1
VerifiedAudio Engineer
As an Audio Engineer, you'll use your expertise to help train advanced AI systems. Your contributions will directly influence how AI models learn from real-world audio data. No prior AI background is needed—your audio skills are the key.
Micro1
VerifiedData Annotator
micro1 is seeking detail-oriented Data Annotators to support a client project that involves labeling video and audio data for training AI systems. Your domain knowledge is what counts—no prior AI experience needed. This remote contract role pays $6–$10 per hour and directly impacts how next-generation models learn and reason.