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Music Evaluator - Fully Remote | Upto $17/hr

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Job Description

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 - Thai

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 various music categories.
  • Score the quality of musical training data to ensure high standards.
  • Collaborate with AI research teams to improve model outputs and training data.
  • Work independently and asynchronously to meet project deadlines.
  • Utilize expertise in music writing and understanding directions in English.

Qualifications

Must-Have

  • 3+ years of experience as a music producer, audio engineer, or sound mixer.
  • College degree in music, covering performance, theory, and lyrics.
  • Native or near-native proficiency in both Thai and English .

Preferred

  • Evidence of understanding musical performance, theory, and lyrics.
  • Past experience writing lyrical music in the domain language listed in the title.

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.

Originally posted on Himalayas

Tags

Music-EvaluationAudio-Quality-AssuranceAI-Training-Data-SpecialistSound-EngineeringMusic-ProductionMusic-and-Audio-EvaluatorMusic-Content-ReviewerAI-Music-Evaluation