This opportunity is ideal for musicians, producers, and audio engineers interested in contributing to the advancement of AI music technology. The role involves supplying real music recordings alongside meticulously edited MIDI files for use in an AI training dataset. You will be responsible for providing songs across a wide range of genres, ensuring that each submission meets strict technical and quality standards. This is a unique chance to monetize your archived tracks while supporting innovative AI research in music.
Deliverables
- Submit 3–4 minute songs with 1 to 12 unique instruments per track (vocals count as an instrument).
- Provide one lossless WAV audio file (44.1 kHz or higher) per song.
- Deliver two MIDI files per song: one original unedited and one corrected, with note endings precisely matching the audio (within 10–20 ms).
- Ensure at least one instrument per song is performed live with minimal quantization.
- Complete a metadata sheet detailing track and instrument names.
- Genres accepted: Non-Western, Hip-Hop/Rap, Latin, Pop, Classical, Rock, Metal, Jazz/Blues, Soundtrack, Country/Folk, R&B, Electronic, Reggae.
- Rap and sung vocals are welcome; auto-transcription is permitted only as a first pass, with all notes manually corrected.
- All material must be original and not AI-generated.
Requirements
- Proficiency with a DAW such as Logic, Ableton, Pro Tools, or Reaper.
- Ability to edit MIDI files to accurately reflect note endings and instrument separation.
- Full rights to all submitted material, with written agreement from any co-writers or performers for the specified usage.
- Attention to detail in aligning MIDI data with audio recordings.
- Willingness to adhere to usage rights: songs and MIDI files will be used for AI training and derivative works, with a five-year exclusivity for AI research purposes.
- Strong organizational skills to manage multiple files and metadata per submission.
- Availability to deliver high-quality work within project timelines.
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