The Work
You will help train AI by turning mixed polyphonic recordings into precise, structured musical scores. The work focuses on four-part soprano, alto, tenor, and bass performances and combines musical listening with audio analysis and technical problem-solving.
- Transcribe polyphonic recordings into structured musical notation.
- Separate soprano, alto, tenor, and bass lines from mono mixes.
- Identify pitches, note starts, durations, rests, and re-articulations.
- Place musical events on the correct rhythmic grid.
- Apply accurate key signatures, accidentals, and enharmonic spelling.
- Create or edit MusicXML scores.
- Use Python to inspect audio, analyze spectral information, and automate parts of the workflow.
- Validate transcriptions through musical review, structured checks, or resynthesis.
What It Pays and Takes
This is a fully remote contractor opportunity with a flexible schedule. Relevant practical expertise can demonstrate suitability; formal education and a specific number of professional years are not required.
- $50 to $100 per hour equivalent, paid per task that meets the project specifications.
- Approximately 15 hours per week, with a flexible schedule.
- Fully remote and open to candidates in the countries listed for this role across North America, South America, Europe, Asia, Africa, and the Middle East.
- Professional fluency in English.
- Strong Python programming ability applied to audio analysis or related technical work.
- Advanced ear training and accurate polyphonic music transcription skills.
- Strong knowledge of harmony, rhythm, voice leading, and standard musical notation.
- Experience with SATB music, choral arranging, score preparation, or closely related polyphonic transcription.
- Ability to distinguish multiple simultaneous musical lines in a mixed recording.
- Careful judgment about pitch, timing, articulation, spelling, and rhythmic representation.
- Experience with librosa, NumPy, SciPy, music21, Essentia, pretty_midi, MuseScore, or comparable tools is helpful.
About AI Training Work
AI training is the human work behind systems that learn from examples, including carefully transcribed audio and structured musical data. OpenTrain is where people discover this kind of work, build a profile, and apply to projects across the industry.
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