Hindi Music Producer for AI Model Evaluation

Assess outputs from generative music models in Hindi, scoring and annotating audio and lyrical samples for musicality, technical quality, and adherence to prompts while working with a leading AI research partner.

• Listen to and evaluate AI-generated music and lyrics across multiple musical categories in Hindi.
• Rate paired samples head-to-head on musicality, creativity, prompt adherence, vocal quality, and production and mix quality, using audio engineering terminology.
• Score the quality of musical training data used to develop models.
• Annotate songs in detail using a structured taxonomy, including genre and sub-genre classification, song structure, and vocal and instrumental characteristics.
• Write or assess lyrical music in the domain language listed in the title.
• Follow directions provided in English and complete annotation tasks according to given guidelines.

• Minimum 3 years of professional experience as a music producer, audio engineer, sound mixer, or similar role.
• College degree in music with coursework or experience in performance, music theory, and lyrics.
• Demonstrable understanding of musical performance, theory, and lyric writing, shown via portfolio or past work.
• Past experience writing lyrical music in Hindi.
• Native or near-native proficiency in both Hindi and English, with the ability to understand instructions in English.

• Remote role.
• Hourly engagement, part-time.
• Estimated commitment: 10+ hours per week.
• Start date: Immediate.
• Project duration: Up to 6 months.

• Pay rate: 9.63 - 17.33 hourly.

• Submit a resume and complete the application form.
• Attend a 25-minute conversational interview covering your background, experience, and motivations.
• Receive next steps and onboarding details within a few days after the interview.

• Must be able to read, write, and produce music and lyrics in Hindi.
• Must understand directions given in English.
• Relevant professional experience and a music degree as described above.

All qualified applicants are considered without regard to legally protected characteristics. Reasonable accommodations are available upon request during the application or onboarding process.