Audio Engineer - AI Trainer
Mercor · Slovakia
The posting
About the job
Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark , General Catalyst , Peter Thiel , Adam D'Angelo , Larry Summers , and Jack Dorsey .
Position: Music Production Expert - Slovak
Type: Contract
Compensation: $20–$36/hour
Location: Remote
Duration: Up to 6 months
Commitment: 20+ hours/week
Role Responsibilities
Evaluate AI-generated music for musicality , creativity , prompt adherence, vocal quality, and production/mix quality.
Label songs by genre, structure, instruments, vocals, and other musical characteristics.
Review AI-generated lyrics and vocals against reference material for quality and accuracy.
Work independently and asynchronously to meet deadlines while improving AI model performance .
Qualifications
Must-Have
Native or near-native proficiency in Slovak, and the ability to follow detailed written instructions in English.
2+ years of experience as a music producer, audio engineer, or mixing engineer.
Headphones or studio monitors suitable for critical listening.
Preferred
Formal training in music performance, theory, or composition.
Credited or commercially released production, engineering, or mixing work.
Broad familiarity with contemporary Slovak genres, sub-genres, and artists.
Start Date
Immediate
Application Process (Takes 20–30 mins to complete)
Upload your resume and complete the application steps, including the Bilingual Competency Interview in Slovak.
Receive next steps and onboarding details within a few days.
Resources & Support
For details about the interview process and platform information, please check:
For any help or support, reach out to
PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.
#hiring mercor Originally posted on Himalayas
Excerpt from the original listing. The full, current text lives at the source. Read and apply there →
The PivotHop read
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