Part-Time Bilingual Music AI Evaluator (Russian/English)

Part-Time Bilingual Music AI Evaluator (Russian/English)

Part-Time 15.3 - 18.7 Β£ / hour (est.) No working from home possible
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At a Glance

  • Tasks: Evaluate generative music AI models and provide feedback on outputs.
  • 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 expertise.
  • Other info: Immediate start with potential for six months of exciting work.
  • Why this job: Be part of an innovative project that shapes the future of music creation.
  • Qualifications: 3+ years in music production or audio engineering, fluent in Russian and English.

The predicted salary is between 15.3 - 18.7 Β£ per hour.

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

You will assess outputs across music categories and rate with domain language and English directions.

Ideal candidates have 3+ years in music production or audio engineering, a music degree, and fluency in Russian and English.

This part-time role starts immediately and runs up to six months with 10+ hours weekly.

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Part-Time Bilingual Music AI Evaluator (Russian/English) employer: Obsidian

Obsidian is an exceptional employer located in the vibrant Greater London area, offering a dynamic work culture that fosters innovation and collaboration among experts in the field. Employees benefit from a fast-start program with opportunities for growth and extension, alongside a commitment to quality in AI model training that makes a meaningful impact in genomics. With a focus on professional development and a supportive environment, Obsidian is dedicated to empowering its team members to excel in their careers.

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Contact Details:

Obsidian Recruitment Team

We think you need these skills to ace Part-Time Bilingual Music AI Evaluator (Russian/English)

Music Production
Audio Engineering
Fluency in Russian
Fluency in English
Generative Music Evaluation
Domain Language Proficiency
Critical Listening Skills