About the role
Audio Engineer – Pro Tools (AI Training)
About the Role
We're looking for experienced Audio Engineers to produce, evaluate, and refine high-quality audio content that directly improves AI-powered audio tools. Your professional ear and Pro Tools expertise will shape how the next generation of AI understands and generates sound — making a real impact on the future of audio production.
- Type : Hourly Contract
- Location : Fully Remote
- Commitment : Flexible, minimum 15 hours/week
What You'll Do
- Produce, mix, and master high-quality audio content in line with project specifications and industry standards
- Edit, balance, and enhance multi-track recordings using Pro Tools
- Review and refine audio for clarity, consistency, and technical accuracy
- Evaluate AI-generated audio outputs for quality, alignment, and production integrity
- Provide structured, constructive feedback to improve AI-driven audio processing and production tools
Who You Are
- Experienced in audio engineering, sound design, or music production with strong Pro Tools proficiency (required)
- Equipped with professional-grade audio gear and a quiet, acoustically treated workspace (required)
- Proven ability to deliver polished mixes and masters efficiently and consistently
- Exceptionally detail-oriented when it comes to audio balance, clarity, and technical precision
- Curious about AI-driven audio processing, sound analysis, or machine learning applications in music and sound
- Curious about AI-driven audio processing, sound analysis, or machine learning applications in music and sound
- Experience with audio dataset creation, annotation, or AI audio model training
- Background in sound design for film, games, or digital media
- Familiarity with AI or data labeling workflows
Why Join Us
- High impact — your craft directly shapes AI models used by leading research labs and Fortune 500 teams
- Full flexibility — work remotely, asynchronously, on a schedule that fits your life
- Clear ownership — know exactly what success looks like and have the autonomy to deliver it
- Growth potential — top performers take on expanded responsibilities and lead new programs
- Meaningful work — be part of the team building the data foundation for the next wave of AI innovation
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