Evaluate AI-generated Turkish music through structured listening, comparison, and quality review. Use your production or engineering expertise in flexible, fully remote contract work paying $17–$45 per hour.
Audio & Speech
100% Remote Hourly · $17–$45/hr
$17–$45/hr
Compensation
Worldwide
Eligibility
Entry
Experience
Jul 15, 2026
Posted
Open worldwide
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About AI Training Work
AI training is the human side of building artificial intelligence. People review and label examples, evaluate model outputs, and provide structured feedback so AI systems can become more accurate, useful, and aligned with real-world standards.
In this role, your specialist knowledge of Turkish music and professional audio quality will help assess generative music models and the songs they produce.
The Role
OpenTrain AI is seeking a Turkish Music AI Evaluation Expert to evaluate AI-generated music through structured listening, comparison, and quality review. You will assess how well generated songs satisfy musical and prompt-based criteria while applying informed judgment to Turkish music, lyrics, vocals, and production quality.
This is remote contract work with a flexible schedule for up to six months. Most experts work around 20 hours per week, with no cap on hours.
Contract and part-time engagement
Remote work available worldwide
Flexible schedule
Typical workload of approximately 20 hours per week, with no cap
Duration of up to six months
Pay of $17–$45 per hour
What You'll Do
You will listen to and assess generated songs using detailed evaluation standards. Consistency, careful comparison, and the ability to identify musical and production nuances will be important throughout the project.
Compare AI-generated songs for musicality, creativity, and prompt adherence
Evaluate vocal quality and production or mix quality
Classify songs by genre, structure, instruments, vocals, and other musical characteristics
Review AI-generated lyrics and vocals against reference material for quality and accuracy
Apply detailed standards consistently across a broad range of genres
Requirements
This role requires native or near-native Turkish proficiency for evaluating Turkish-language music, lyrics, and vocals. You must also be able to follow detailed written instructions in English.
Professional audio experience and suitable critical-listening equipment are essential. The role is listed as entry level, but it requires at least two years of experience in a relevant professional discipline.
Native or near-native Turkish proficiency
Ability to follow detailed written instructions in English
At least two years of professional experience as a music producer, audio engineer, or mixing engineer
Ability to compare musicality, creativity, prompt adherence, vocal quality, and production quality using detailed standards
Knowledge of contemporary Turkish genres, sub-genres, and artists
Headphones or studio monitors suitable for critical listening
Helpful Background
The following experience is helpful but not required: formal training in music performance, music theory, or composition; credited or commercially released production, engineering, or mixing work; and broad familiarity with contemporary Turkish artists and musical styles.
Formal training in music performance, music theory, or composition
Credited or commercially released production, engineering, or mixing work
Broad familiarity with contemporary Turkish genres, sub-genres, and artists
Why Work With OpenTrain
AI training and data-labeling work is a flexible way to contribute to cutting-edge technology from anywhere with a computer or phone and an internet connection. Specialist contributors can use their professional knowledge to influence how emerging AI systems perform in their field.
OpenTrain helps you manage AI training opportunities in one place, present credible experience through your profile, and grow your work into a long-term AI training portfolio.
Fully remote work
Flexible hours that can fit around other commitments
Opportunities to apply professional music and audio expertise
A free OpenTrain profile for showcasing relevant experience
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