Turkish AI Music Producer & Evaluator

Mercor; Paris; Sur place; EUR 28 000 - 48 000; Temps partiel

Résumé du poste

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 a bilingual setting (Turkish and English).

Key responsibilities include evaluating lyrics and voice generation, scoring training data quality, and annotating songs with a structured taxonomy. Ideal candidates have 3+ years in music production or audio engineering and a college degree in music.

Qualifications

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

Responsabilités

• 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.

Connaissances

Music production

Audio engineering

Lyrics writing

Bilingual Turkish/English

Formation

College degree in music (performance, theory, lyrics)

Description du poste

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 a bilingual setting (Turkish and English).

Key responsibilities include evaluating lyrics and voice generation, scoring training data quality, and annotating songs with a structured taxonomy. Ideal candidates have 3+ years in music production or audio engineering and a college degree in music.