Evaluate and transcribe Finnish musical content for a frontier generative-music AI lab by applying expert knowledge of melody, rhythm, lyrics, and musical structure.
Portuguese Music Expert
Job description
Role Overview
Mercor is hiring Portuguese Music Experts to support a frontier generative-music AI lab. This remote part-time opportunity is designed for musicians, composers, transcribers, engineers, and music educators with strong musical ability and Portuguese language expertise.
The role focuses on evaluating and improving AI-generated music by applying expert listening skills, musical knowledge, and lyric understanding.
Key Responsibilities
Music Evaluation & Analysis
- Evaluate AI-generated music outputs for quality, accuracy, and musicality.
- Assess melody, rhythm, harmony, tempo, and overall musical structure.
- Identify strengths and weaknesses in generated compositions.
Audio Transcription & Musical Understanding
- Transcribe melodies by ear with accurate pitch and rhythm.
- Recognize musical elements including:
- Key signatures
- Tempo
- Time signatures
- Melodic structure
- Provide expert feedback on AI-generated musical content.
Portuguese Language Evaluation
- Review Portuguese sung lyrics for accuracy and clarity.
- Understand different Portuguese accents and vocal delivery styles.
- Evaluate lyrics even when pronunciation or audio quality is challenging.
Ideal Qualifications
- Formal musical training or professional music experience.
- Background as a:
- Musician
- Composer
- Music Teacher
- Music Transcriber
- Audio Engineer
- Strong ear training and ability to identify pitch and rhythm accurately.
- Knowledge of music theory and composition.
- Strong Portuguese fluency for lyric evaluation.
Compensation
- $50–$70 per hour
Job Details
- Remote
- Part-time
- Initial commitment: 2–5 hours/week
- Pilot project with potential expansion
- High-performing contributors may be prioritized for future phases.
About Mercor
Mercor partners with leading AI labs and enterprises to train advanced AI systems using expert human feedback. Contributors help improve next-generation generative AI models through specialized knowledge and evaluation.
Application Link
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