Music & Lyrics Expert - Telugu

AI Training & Evaluation • Independent Contractor • Remote • Weekly Payouts

Mercor is hiring experienced musicians to evaluate generative music AI models, in partnership with a leading AI lab.

You will assess AI-generated music across a wide range of genres and rate it against detailed quality standards, working in Telugu and English.

Key Responsibilities

• Compare AI-generated lyrics with published songs to identify similarities

• Rate lyrics based on quality, creativity, prompt adherence, and originality

• Evaluate whether lyrics sound natural, including word choice, slang, and regional expressions.

Requirements

• Native or near-native proficiency in Telugu, and the ability to follow detailed written instructions in English

• Experience as a songwriter, lyricist, performer, composer, or music journalist, with knowledge of the Telugu music scene

• Headphones or studio monitors suitable for critical listening

Nice to have

• Formal training in music performance, theory, or composition

• Credited or published songwriting work

• Broad familiarity with contemporary Telugu genres, sub-genres, and artists

Project Timeline

• Start date: immediate

• Duration: up to 6 months

• Commitment: flexible. Most experts work around 20 hours per week; there is no cap

Application & Onboarding

• Upload your resume and complete the application steps, including the Bilingual Competency Interview in Telugu

• Receive next steps and onboarding details within a few days

Apply today and put your musical expertise to work.

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

Details

• Pay: $11 to $19 per hour (hourly)
• Commitment: 20 hours per week • remote
• Eligible locations: United States
• Platform: Mercor (weekly payouts via Stripe or Wise)

Submit your application via the link below. Qualified candidates move through Mercor's short AI interview and selection process. Projects can be extended, shortened, or concluded early depending on needs and performance.