Audio Engineer - Fully Remote

Mercor

San Francisco (CA)

Remote

USD 34,000 - 83,000

Part time

14 days+

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Job summary

Mercor is hiring experienced musicians to evaluate generative musical AI models in partnership with a leading AI lab. You will assess model outputs across different categories of music in your bilingual language.

Ideal candidates have 3+ years in music production or audio engineering, a degree in music, and fluency in French and English. Start date is immediate; commitment is part-time, 10+ hours per week, in the San Francisco area.

Qualifications

  • 3+ years experience as music producer, audio engineer, or sound mixer.
  • Understanding of musical performance, theory and lyrics.
  • College degree in music covering performance, theory and lyrics.
  • Experience writing lyrics in the domain language listed in the title.
  • Native or near-native proficiency in French and English.

Responsibilities

  • Evaluate AI model output lyrics, voice generation and other standards.
  • Score quality of musical training data.
  • Write music in the domain language referenced in the title.
  • Able to understand directions in English.
  • Rate AI-generated music samples head-to-head on musicality, creativity, prompt adherence, vocal quality and mix quality.
  • Annotate songs with genre, structure, and vocal/instrumental characteristics via a taxonomy.

Skills

Music production
Audio engineering
Sound mixing
Lyrics writing
French fluency
English fluency

Education

Bachelor's degree in music

Job description

Mercor is hiring experienced Musicians to evaluate generative musical AI models in partnership with a leading AI lab.

You will assess model outputs across in different categories of music in your bilingual language.

Key Responsibilities
  • Evaluate AI model output lyrics, voice generation, and other standards
  • Score quality of musical training data
  • Experience writing music in the domain language listed in the title
  • Able to understand directions in English language
  • Rate AI-generated music samples head-to-head on musicality, creativity, prompt adherence, vocal quality, and production/mix quality, using audio-engineering terminology
  • Annotate songs in detail: genre/sub-genre classification, song structure, vocal/instrumental characteristics via a structured taxonomy
Ideal Qualifications
  • Experience working as a music producer, audio engineer, and/or sound mixer for at least 3+ years
  • Evidence of understanding musical performance, theory, and lyrics
  • College degree in music, involving both performance, theory, and lyrics
  • Past experience writing lyrical music in the domain language listed in the title
  • Native or near-native proficiency in both French and English
Project Timeline
  • Start Date: Immediate
  • Duration: Up to 6 months
  • Commitment: Part-time, 10+ hours per week

We consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request.

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