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 Audio Expert - Vietnamese Type:Contract Compensation:$17/hour Location:Remote Duration:Up to 6 months Commitment:10+ hours/week
Role Responsibilities
Evaluate AI model output lyrics, voice generation, and other standards in music.
Score the quality of musical training data to enhance model outputs.
Write music in the domain language listed in the title with proficiency.
Understand and follow directions in the English language.
Work independently and asynchronously to meet deadlines while improving AI model performance.
Qualifications
Must-Have
3+ years experience as a music producer, audio engineer, and/or sound mixer.
College degree in music, involving performance, theory, and lyrics.
Experience writing lyrical music in the domain language listed in the title.
Native or near-native proficiency in both Vietnamese and English.
Start Date
Immediate Application Process (Takes 20–30 mins to complete)
Upload resume and application form
Complete a 25-minute conversational interview on your background, experience, and motivations
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.
Mercor connects elite creative and technical talent with leading AI research labs. The company specializes in matching top-tier professionals with AI research organizations to support advanced projects. Mercor facilitates work across multiple domains including financial analysis, hedge fund strategy evaluation, and deal structuring, leveraging AI to enhance model training and research capabilities. The company bridges the gap between specialized talent and cutting-edge AI research institutions.
