Bilingual AI Music Producer & Evaluator (PT/EN)

Bilingual AI Music Producer & Evaluator (PT/EN)

Part-Time 19350 - 23650 Β£ / year (est.) No working from home possible
Mercor

At a Glance

  • Tasks: Evaluate generative musical AI models and provide feedback on lyrics and voice generation.
  • Company: Join Mercor, a forward-thinking company at the intersection of music and technology.
  • Benefits: Flexible part-time hours, work with cutting-edge AI, and enhance your music production skills.
  • Other info: Immediate start with a six-month contract and 10+ hours per week.
  • Why this job: Be part of an exciting project that shapes the future of music with AI.
  • Qualifications: Fluency in Portuguese and English, plus a background in music production.

The predicted salary is between 19350 - 23650 Β£ per year.

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

Start date is immediate and the position runs for up to six months.

Part-time role, typically 10+ hours per week, focusing on evaluating lyrics, voice generation, and other standards in the domain language.

Candidates must be fluent in Portuguese and English and have a music production background.

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Bilingual AI Music Producer & Evaluator (PT/EN) employer: Mercor

At Mercor, we pride ourselves on fostering a dynamic and innovative work culture that empowers our employees to excel in their roles. As a Remote Backend Engineer, you'll enjoy the flexibility of working from anywhere while collaborating with cutting-edge AI technology, alongside opportunities for professional growth and development. Our commitment to competitive compensation and a supportive environment makes Mercor an exceptional employer for those seeking meaningful and rewarding work in the tech industry.

Mercor

Contact Details:

Mercor Recruitment Team

We think you need these skills to ace Bilingual AI Music Producer & Evaluator (PT/EN)

Fluency in Portuguese
Fluency in English
Music Production Background
Evaluation of Generative AI Models
Lyric Evaluation
Voice Generation Assessment
Understanding of Music Standards