Audio Engineer - Pro Tools

Audio Engineer – Pro Tools (AI Training)

We're looking for experienced Audio Engineers to help evaluate and improve AI systems trained on audio content. Your production expertise will directly shape how AI understands, processes, and generates sound — making a real impact on the future of audio technology.

This is a fully remote, asynchronous contract role ideal for audio professionals who want to apply their craft to cutting‑edge AI projects on a flexible schedule.

• Type:
  Hourly Contract
• Location:
  
  Remote
• Commitment: 15+ hours/week, fully asynchronous

• Produce, mix, and master high‑quality audio content according to project specifications and industry standards
• Work efficiently in Pro Tools to edit, balance, and enhance multi‑track recordings
• Review and refine audio for clarity, consistency, and technical accuracy
• Evaluate AI‑assisted audio outputs for quality, alignment, and production integrity
• Provide structured, constructive feedback to improve AI‑driven audio processing and production tools

• Experienced in audio engineering, sound design, or music production with a strong command of Pro Tools (required)
• Owner of professional‑grade audio equipment with access to a quiet, acoustically treated workspace (required)
• Proven track record of delivering high‑quality 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

• Experience with audio dataset creation, labeling, or AI audio model training
• Background in sound‑for‑picture, broadcast, or game audio
• Familiarity with AI or data annotation workflows

• High impact — your craft directly improves AI models used by leading research labs and enterprise teams worldwide
• Fully remote and flexible — work from anywhere, on your own schedule, asynchronously
• Clear ownership — know exactly what success looks like and have the autonomy to deliver it
• Growth potential — consistent high performers are tapped to lead new programs and mentor incoming contributors
• Meaningful work — help define how the next generation of AI tools understands and produces sound