Remote | Norwegian Music & Audio AI Evaluator — $30–$55/hour

24-Mag•New York, NY

1d•Remote

About The Position

We are sharing a specialised part-time consulting opportunity for Norwegian-speaking music producers, audio engineers, and mixing professionals to evaluate AI-generated music using professional listening and production standards. This role supports advanced generative music AI evaluation across a wide range of genres and production styles. Selected experts will compare AI-generated tracks, assess musical and technical quality, classify musical characteristics, and evaluate lyrics and vocals while working in both Norwegian and English.

Requirements

Native or near-native proficiency in Norwegian
Strong ability to understand detailed written instructions in English
2+ years of professional experience as a Music Producer, Audio Engineer, Mixing Engineer, Recording Engineer, or closely related audio professional
Strong critical-listening skills across music, vocals, and production quality
Access to professional-quality headphones or studio monitors suitable for critical listening
Broad familiarity with contemporary music genres and production styles

Nice To Haves

Knowledge of Norwegian music, artists, genres, and sub-genres is highly valued
Formal training in music performance, theory, composition, production, or audio engineering is advantageous
Commercially released or credited production, engineering, or mixing work is highly valued
Ability to work independently and apply detailed evaluation criteria consistently

Responsibilities

Music Quality Evaluation: Compare AI-generated songs head-to-head using defined evaluation criteria. Assess musicality, creativity, arrangement, and overall listening quality. Evaluate how accurately each track follows the original prompt or creative direction. Identify musical inconsistencies, structural weaknesses, and production-quality issues. Apply professional music-production judgement when ranking alternative outputs.
Audio Production & Mix Review: Evaluate recording, production, mixing, and overall sonic quality. Assess balance, clarity, dynamics, spatial presentation, and tonal consistency. Identify artifacts, processing issues, or unnatural production characteristics. Review vocal integration and instrumental balance within completed tracks. Determine whether outputs meet professional production and listening standards.
Genre & Musical Classification: Label tracks by genre, sub-genre, structure, instrumentation, and vocal characteristics. Identify key musical elements and production techniques. Recognise stylistic conventions across contemporary Norwegian and international music. Distinguish between closely related genres and production approaches. Apply consistent classification standards across varied musical content.
Lyrics & Vocal Evaluation: Review AI-generated lyrics for quality, coherence, and accuracy. Compare vocals and lyrics against provided reference material where applicable. Evaluate pronunciation, phrasing, delivery, and naturalness in Norwegian. Identify linguistic or musical mismatches affecting vocal quality. Assess whether vocal performances fit the intended genre and musical context.
AI Evaluation & Quality Assurance: Apply detailed evaluation guidelines consistently across large sets of music outputs. Provide clear ratings and structured feedback. Identify recurring weaknesses in AI-generated music. Maintain consistent quality standards across evaluation tasks. Contribute professional music and audio expertise to the improvement of generative AI systems.