Evaluate AI-generated Urdu songs, lyrics, and vocals through structured listening and quality review. This remote contract offers flexible scheduling, around 20 hours per week, and $11-$19 per hour.
Audio & Speech
100% Remote Hourly · $11–$19/hr
$11–$19/hr
Compensation
Worldwide
Eligibility
Entry
Experience
Aug 17, 2026
Posted
Open worldwide
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About AI Music Evaluation
AI training is the human side of building artificial intelligence. Contributors review model outputs, compare alternatives, classify content, and provide detailed judgments that help improve how AI systems perform.
In this role, your musical expertise and critical listening ability will help evaluate whether generative music outputs meet standards for musicality, creativity, vocals, prompt adherence, and production quality.
Contribute to the development of generative music technology
Use structured human feedback to assess AI-generated audio
Work remotely with a flexible part-time commitment
The Role
OpenTrain is hiring an Urdu Music AI Evaluation Expert to assess generative music models through structured listening and quality review. You will review AI-generated songs, lyrics, and vocals across a broad range of genres and apply detailed written evaluation guidance.
This is a remote contractor position paying $11-$19 per hour. The project may last up to 6 months, with most contributors working around 20 hours per week on a flexible schedule.
Role: Urdu Music AI Evaluation Expert
Employment type: Remote contract, part time
Pay: $11-$19 per hour
Expected commitment: Around 20 hours per week
Project duration: Up to 6 months
What You'll Do
You will compare and classify generative music outputs while making consistent judgments against defined musical and production standards. Your reviews may cover songs, lyrics, vocals, genres, arrangements, and other musical characteristics.
Compare AI-generated songs head-to-head and determine which better meets musical and production standards
Evaluate musicality, creativity, prompt adherence, vocal quality, and production or mix quality
Classify songs by genre, structure, instruments, vocals, and other musical characteristics
Review generated lyrics and vocals against reference material for quality and accuracy
Follow detailed written evaluation guidance in a consistent manner
Requirements
This role is listed at an entry level, but it requires at least two years of relevant experience in music production, audio engineering, or mixing engineering. You should bring strong listening judgment across musical performance, arrangement, vocals, and production quality.
Native or near-native Urdu proficiency is required, along with the ability to follow detailed written instructions in English. Critical listening must be performed using headphones or studio monitors suitable for careful audio review.
At least two years of experience as a music producer, audio engineer, or mixing engineer
Native or near-native proficiency in Urdu
Ability to follow detailed written instructions in English
Critical listening ability for musicality, vocal quality, and production or mix quality
Headphones or studio monitors suitable for critical listening
Helpful Background
Formal training in music performance, music theory, or composition can be helpful. Credited or commercially released production, engineering, or mixing work is also valuable, as is broad familiarity with contemporary Urdu genres, sub-genres, and artists.
Training in music performance, music theory, or composition
Credited or commercially released production, engineering, or mixing work
Familiarity with contemporary Urdu genres, sub-genres, and artists
Why This Work Matters
Every major AI system depends on examples prepared, reviewed, and rated by people. By evaluating generative music with informed, consistent feedback, you help shape how emerging AI systems create and respond to musical prompts.
Use specialized music expertise in cutting-edge AI development
Help improve the quality and reliability of generative music models
Turn professional listening experience into AI training work
How to Apply
Create a free OpenTrain account, build your profile around your Urdu language and music production experience, and apply in minutes. Be ready to describe your relevant background and demonstrate the critical listening skills needed for structured audio evaluation.
Apply through OpenTrain
Highlight Urdu proficiency and relevant music experience
Confirm your availability for around 20 hours per week
Prepare headphones or studio monitors for critical listening
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