Seeking experienced music transcribers to create accurate multi-track MIDI transcriptions and symbolic music data for training and evaluating frontier generative AI music models. This part-time remote role requires expert skills in music transcription, notation, and production software.
Senior Music Transcriber — MIDI & Notation (Generative Music)
Job description
Mercor is seeking experienced music transcribers to create accurate multi-track MIDI transcriptions of complete musical compositions for a frontier generative music AI laboratory.
This is an advanced music understanding role focused on converting full musical recordings into high-quality symbolic representations. You will identify every note, instrument, rhythm, harmony, and expressive element, producing precise ground-truth data that helps train next-generation AI music models.
Key Responsibilities
Multi-Track MIDI Transcription
Create accurate multi-track MIDI transcriptions from full mixes or provided instrument stems.
Musical Analysis
Capture and accurately represent:
- Pitch
- Note onset and duration
- Velocity
- Harmony
- Key signatures
- Modulations
- Polyphony
MIDI Specification Compliance
Produce transcriptions that follow standardized MIDI requirements, including:
- Quantization
- Tempo mapping
- Drum mapping
- Pitch bends
- Instrument separation
Quality Assurance
Maintain exceptional accuracy while ensuring every transcription aligns precisely with the source audio and follows project guidelines.
Ideal Qualifications
- Professional experience in music transcription, arranging, notation, engraving, or related fields.
- Exceptional ear-training and transcription abilities.
- Strong understanding of harmony, rhythm, and voice leading.
- Ability to accurately transcribe complex polyphonic and multi-instrument compositions.
Technical Skills
Experience using one or more professional music production or notation tools, including:
- Logic Pro
- Cubase
- Reaper
- Pro Tools
- Sibelius
- MuseScore
- Similar DAWs or notation software
Project Details
- Remote work
- Flexible hours
- Part-time engagement
- Sample transcription required during calibration
- Background check required
- Confidentiality agreement required
Compensation
- $55–$110 per hour
Contract & Payment Terms
- Independent contractor engagement
- Fully remote work
- Flexible schedule
- Weekly payments through Stripe or Wise
- Projects may be extended, shortened, or concluded based on business needs and performance
Important Note
Mercor currently cannot support:
- H1-B candidates
- STEM OPT candidates
About Mercor
Mercor partners with leading AI labs and enterprises to train and improve frontier AI systems using human expertise.
Contributors help advance generative music AI by producing expert-quality symbolic music data used to train and evaluate next-generation music models.
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