Turkish Music Producer - Evaluator

Obsidian; Berlin; Vor Ort; EUR 28.000 - 62.000; Teilzeit

Zusammenfassung

Mercor in Berlin is seeking experienced musicians to evaluate generative musical AI models. Part-time engagement with flexible hours (10+ per week) and a six-month timeline. You will assess model outputs across genres, annotate song structure, and apply audio-engineering terminology to rate quality and production details.

The role requires 3+ years in music production/audio engineering, a degree in music, and native or near-native Turkish and English skills. Immediate start is expected.

Qualifikationen

• Experience writing music for the domain language listed in the title.
• Evidence of understanding musical performance, theory, and lyrics.
• College degree in music with performance, theory, and lyrics.

Aufgaben

• 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.

Kenntnisse

Music production

Audio engineering

Lyric writing

Music theory

Turkish fluency

English fluency

Ausbildung

Bachelor's degree in music

Performance & lyrics focus

Jobbeschreibung

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

You will assess model outputs across in different categories of music in your bilingual language.

Key Responsibilities

• 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

Ideal Qualifications

• Experience working as a music producer, audio engineer, and/or sound mixer for at least 3+ years


• Evidence of understanding musical performance, theory, and lyrics


• College degree in music, involving both performance, theory, and lyrics


• Past experience writing lyrical music in the domain language listed in the title


• Native or near-native proficiency in both Turkish and English

Project Timeline

• Start Date: Immediate


• Duration: Up to 6 months


• Commitment: Part-time, 10+ hours per week

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