Evaluate AI-generated Tamil music: rate lyrics, vocal quality, musicality, and production, and tag genre, structure, and instrumentation. Remote, part-time contracting role (20+ hrs/week), immediate start; pay listed $19.44/hr (hourly range $10.80–$19.44).
Audio & Speech
100% Remote Hourly · $10.8–$19.44/hr
$10.8–$19.44/hr
Compensation
Worldwide
Eligibility
Expert
Experience
Jul 10, 2026
Posted
Open worldwide
Interested in this role?
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OpenTrain is the #1 platform for people building careers in AI training and data labeling. We bring specialized projects and long-term freelance opportunities together so contributors can build a unified portfolio, grow skills, and work on cutting-edge AI tasks — all from anywhere.
Why AI training in music matters
AI training is the human work behind better, safer, and more creative AI systems. For music, that means people like you evaluate generated audio, judge lyrics and performance, and tag musical attributes so models learn to produce higher-quality, culturally-aware results. These roles are remote, often flexible, and give you direct influence on how music-focused AI behaves.
The role
OpenTrain AI is hiring Tamil Music AI Model Evaluators to review generative music outputs and music training data. This is an expert-level, part-time contracting role for professionals with music-production or audio-engineering backgrounds and strong Tamil language skills.
Type: Contractor, part-time
Commitment: 20+ hours per week
Duration: Up to 6 months, immediate start
Work: 100% remote, worldwide
Pay: Hourly rate listed $19.44 (hourly range $10.80–$19.44)
What you'll do
Listen to AI-generated music samples and rate musicality, creativity, prompt adherence, vocal performance, and production/mix quality.
Evaluate lyric quality, voice generation fidelity, and how well outputs follow prompts.
Score the quality of musical training data and AI outputs using structured rating scales.
Annotate songs with genre and sub-genre, song structure, and vocal or instrumental characteristics using a taxonomy.
Use audio-engineering terminology to explain and justify evaluation decisions in clear written feedback.
Requirements
This role requires real-world music expertise, bilingual ability in Tamil and English, and experience judging recorded audio. Candidates must be able to read and follow instructions written in English while producing evaluations in English and Tamil.
Native or near-native proficiency in Tamil and strong English comprehension
Experience writing music in Tamil
Background as a music producer, audio engineer, or sound mixer
Proven ability to judge lyrics, vocal quality, musical performance, and mix/production quality
Experience evaluating AI-generated music or audio samples
Familiarity with song structure, genre classification, and music taxonomy
Expert-level experience in music production, performance, or audio engineering (this is an expert role)
Preferred qualifications
A college degree in music is preferred but not required if you can demonstrate equivalent professional experience. Detailed, consistent evaluators with prior annotation or QA experience on audio tasks will be prioritized.
How the project works & next steps
Create a free OpenTrain account, complete your profile highlighting music and audio-engineering experience, and apply to this project. Successful applicants will receive task guides and evaluation rubrics and will complete sample assignments before full onboarding. You will work with short audio clips and structured annotation forms to deliver ratings and taxonomy labels.
Apply via your OpenTrain profile—applications are reviewed and selected contributors begin immediately.
Work is paid hourly; exact placement within the posted hourly range will depend on task and assessment during onboarding.
This role helps you build a documented AI-training portfolio you can reuse for future projects on OpenTrain.
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