Evaluate and transcribe Finnish musical content for a frontier generative-music AI lab by applying expert knowledge of melody, rhythm, lyrics, and musical structure.
Manipuri/Meitei Music Expert
Job description
Role Overview
Mercor is hiring Manipuri/Meitei Music Experts to support a frontier generative-music AI lab. In this remote part-time role, you will apply your musical expertise and Manipuri/Meitei language skills to help train and improve advanced AI music systems.
The work focuses on analyzing and transcribing musical content, including identifying melodies, pitch, rhythm, tempo, key, time signature, and accurately understanding Manipuri/Meitei sung lyrics.
Key Responsibilities
Musical Analysis & Transcription
- Listen to music and accurately transcribe melodies by ear.
- Identify:
- Pitch
- Rhythm
- Tempo
- Key
- Time signature
- Analyze musical structures and patterns.
Manipuri/Meitei Lyrics Evaluation
- Review Manipuri/Meitei sung lyrics with high accuracy.
- Recognize:
- Accents
- Pronunciation variations
- Less-clear vocal delivery
- Language-specific nuances
AI Music Evaluation
- Help evaluate and improve generative music AI outputs.
- Provide expert feedback on musical quality and accuracy.
- Support the creation of reliable training data.
Ideal Qualifications
- Formal musical training or professional music experience.
- Experience as one or more of the following:
- Musician
- Composer
- Music transcriber
- Audio engineer
- Music teacher
- Strong musical ear with the ability to identify melody, pitch, and rhythm accurately.
- Fluent Manipuri/Meitei language skills for lyric evaluation.
Compensation
- $50–$70/hour
Job Details
- Remote
- Part-time position
- Initial commitment: 2–5 hours/week
- Pilot project with strong potential for expansion.
- High-performing contributors may be prioritized for future project phases.
About Mercor
Mercor works with leading AI labs and enterprises to improve AI systems through expert human feedback. Contributors help shape next-generation AI models through specialized evaluation and high-quality training data creation.
Application Link
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