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# Audio Expert

- **Company:** RemoteJobsOne
- **Location:** Amsterdam, Netherlands (Remote available)
- **Salary:** €8,667.0 - €17,333.0
- **Contract:** Contract
- **Skills:** Python (Programming Language), NumPy, SciPy
- **Published:** September 27, 2026
- **Apply:** https://www.adzuna.nl/details/5900412203

## About the Role

1. Strong Python programming ability.
 2. Advanced ear training and polyphonic music-transcription ability.
 3. Strong understanding of harmony, rhythm, voice leading, and standard notation.
 4. Experience with SATB music, choral arranging, score preparation, or a closely related form of polyphonic transcription.

Relevant tools may include librosa, NumPy, SciPy, music21, Essentia, pretty_midi, MuseScore, or other audio-analysis and notation software. No specific tool is mandatory if your experience is transferable.

Formal education and years of professional experience are not strict requirements. Experienced performers, arrangers, composers, choir musicians, researchers, and independent transcription specialists are encouraged to apply if they can demonstrate the relevant skills.

## Description

We are looking for a highly skilled music transcription expert to contribute to an AI training project involving polyphonic audio analysis, SATB transcription, music notation, and Python.

The work involves reconstructing precise musical scores from mixed audio recordings. A representative task may require separating four simultaneous soprano, alto, tenor, and bass lines from a mono recording and converting the complete performance into an exact MusicXML score.

This is not a general audio-production or speech-transcription role. Candidates should have strong musical listening, notation, and technical problem-solving abilities.

What you'll work on:

 1. Transcribe polyphonic musical recordings into structured notation.
 2. Distinguish soprano, alto, tenor, and bass lines from a mono mix.
 3. Identify pitches, onsets, durations, rests, and re-articulations.
 4. Quantize events to the correct rhythmic grid.
 5. Apply accurate key signatures, accidentals, and enharmonic spelling.
 6. Generate or manipulate MusicXML.
 7. Use Python to inspect audio, analyze spectral information, and automate parts of the transcription workflow.
 8. Validate transcriptions through musical review, structured checks, or resynthesis.
9.


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