Music Content Analyst - Remote AI Annotation
Listing checked September 18, 2026 · pay as published by Handshake AI
Overview
Handshake AI seeks Music Content Analysts for a remote fellowship. Fellows listen to song excerpts and check lyrics, vocal parts, and structure so AI systems can interpret music with more accuracy. The work is part-time and contract-based, with projects centered on lyric correction, vocal analysis, and song structure labeling. You follow a supplied framework to produce annotations that meet project guidelines. A trained ear for pitch, harmony, and arrangement matters more than general content review experience.
What You'll Do7
- 1Listen to assigned song excerpts and compare what you hear against the supplied lyrics.
- 2Mark wording, phrasing, or structural mistakes in the lyrics and supply corrections.
- 3Count the number of vocalists on a track by studying the audio.
- 4Determine each singer's gender from vocal characteristics.
- 5Sort excerpts into sections such as verse, chorus, bridge, intro, outro, or pre-chorus using the project framework.
- 6Write annotations that follow project guidelines and keep the same standard across every clip.
- 7Check your own labels for consistency before submitting them.
Requirements11
- 1Bachelor's degree in Music, Music Theory, Music Performance, Music Education, or a related field.
- 2Or professional experience as a performing, recording, or touring musician.
- 3A trained ear for pitch, harmony, vocal layering, and arrangement.
- 4Knowledge of common song structures across genres.
- 5Ability to spot small lyric and structural details.
- 6Comfort with structured evaluation rules and annotation frameworks.
- 7Capacity to work with limited supervision.
- 8Prior work with transcription or lyric annotation.
- 9Background in vocal performance or choral work.
- 10Studio recording or music production experience.
- 11Earlier annotation, QA, or AI training project work.
Who Should Apply
The role fits musicians or music graduates who can hear pitch, harmony, vocal layering, and arrangement changes without a reference track. You need to label sections and lyrics against a fixed framework, so comfort with written guidelines matters. Candidates without formal music study or real performance, recording, or touring work often score low, even if they enjoy music as listeners. A weak ear for vocal separation or a habit of guessing at lyric errors will also hurt fit. The work suits people who treat annotation as a careful task, not a creative rewrite.
Salary Insight
Pay goes up to $50.00 per hour. For part-time AI annotation or music evaluation projects, that rate sits near the upper end and usually matches contributors with a music degree or professional performance background. The listing does not state a fixed weekly hours target, so expect project scope and availability to shape total earnings.
Pay and demand for AI Training roles
AggregatedTypical pay
$70/hour
This role
up to $50/hr
Most AI Training roles pay $38–$95 per hour. This role's pay falls inside that range.
Based on 951 similar roles that publish pay · 300 publish only a top rate; those count at the rate they gave
Rates shown per hour. Yearly and monthly pay converted; one-time fees and non-USD pay are not included.
- Live similar roles
- 1,080
- Listed in last 30 days
- 363
- Remote
- 98%
Hiring most right now: micro1 (284) · SME Careers (253) · Handshake AI (132)
Most requested skills · share of roles
- ai training15%
- ai evaluation13%
- llm evaluation12%
- data annotation10%
Figures from AI Training roles live on NearSkill when this page loaded. A role can close before you apply, so check the listing itself.
Compare your resume against these rolesLocation
Compensation
Up to $50/hr
Required Skills
Application Tip
In your application, name the music theory areas you can hear and label: pitch, harmony, vocal layering, arrangement, and song sections. Add one concrete example of lyric correction, transcription, or annotation work you completed, plus your degree or performance credits. Mention any prior QA, annotation, or AI training project work so reviewers can match you to the framework.
How NearSkill helps you apply
1. Check your job match
We compare your resume with the job requirements to help you understand how well your experience fits.
2. Continue to the employer’s website
We’ll direct you to the employer’s application portal, where you can complete the application.
3. Get updates by email
If NearSkill is handling follow-up for this role, we’ll email you when there’s an update on your screening.
Want to check your fit first?
See how your resume matches this role before applying.
Check my job matchSimilar open positions
Explore active roles that match your skills and interests.
Handshake AI
VerifiedMusic Professional - AI Music Evaluation
Handshake AI seeks experienced music professionals for a part-time, remote fellowship. The work centers on evaluating AI-generated music and building reference material that helps models grasp styles, traditions, and cultural context. Contributors draw on hands-on skill in instrumental performance, composition, or music production to judge accuracy and relevance. Projects run on an asynchronous schedule, with most participants logging 5 to 20 hours per week during active assignments. No background in AI is needed, and a master's degree or higher is required, with a DMA preferred.
Turing
VerifiedMusic and Audio experts
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.
Micro1
VerifiedVideo Annotation Specialist
micro1 is hiring Video Annotation Specialists to work on an AI training project that involves analyzing video and audio clips. You will review short clips, check AI-generated descriptions against guidelines, and provide written feedback. No prior AI experience is needed. Your attention to detail and domain knowledge will directly help train next-generation AI systems. This is a remote contractor role.
Micro1
VerifiedData Annotation Specialist for Audio and Video Projects
A remote contractor role focusing on careful data annotation of audio and video samples. You’ll label content according to project guidelines and review others’ work to ensure consistency across datasets. The work supports training next generation AI systems by providing high-quality, real-world inputs in English. No prior AI experience is required; your domain knowledge and attention to detail matter. Highlighted tasks center on precise annotation, error spotting, and clear record keeping with auditability.
Micro1
VerifiedVideo Data Annotation Specialist
micro1 is hiring Video Data Annotation Specialists to support a customer's AI project. You will review short video and audio clips, label them according to project guidelines, and assess AI-generated descriptions for accuracy and appropriateness. The role also involves content moderation, flagging uncertain material, and providing written feedback. No prior AI experience is needed. Your domain knowledge and attention to detail matter most. This is a remote contractor position with a pay range of $8 to $10 per hour.
Micro1
VerifiedData Annotation Specialist for Video and Audio Remote Contract
A remote contractor role focused on high-quality data labeling for a client project. You will annotate video and audio samples precisely following project guidelines, then review and refine existing annotations to improve accuracy. The work supports training next generation AI systems, so clear edge-case notes and consistent deliverables matter. Your domain knowledge in a relevant field is valued even without prior AI experience. Data annotation and quality assurance are core to this role.