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Audio Engineer - Pro Tools

  • Source: LinkedIn
  • Alignerr
  • Remote
  • Australia
  • Mid level

Job Description

Audio Engineer – Pro Tools (AI Training) About The Role We’re looking for experienced Audio Engineers to help evaluate and improve AI systems trained on audio content. Your professional ear and Pro Tools expertise will directly shape how AI understands, produces, and refines sound — making a real impact on the next generation of audio technology.

  • Organization: Labelbox
  • Type: Hourly Contract
  • Location: Remote
  • Commitment: Minimum 15 hours/week, flexible schedule

What You’ll Do

  • 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 constructive, structured feedback to improve AI-driven audio processing and production tools

Who You Are

  • Experienced in audio engineering, sound design, or music production with a strong command of Pro Tools
  • Able to deliver high-quality mixes and masters efficiently and consistently
  • Exceptionally detail-oriented when it comes to audio balance, clarity, and technical precision
  • Self-motivated and comfortable working independently and asynchronously
  • Interested in AI-driven audio processing, sound analysis, or machine learning applications in music and sound

Nice to Have

  • Experience with audio dataset creation, labeling, or AI audio model training projects
  • Familiarity with AI or data annotation workflows
  • Background in music production, post-production, or broadcast audio

Why Join Us

  • Work on cutting-edge AI projects trusted by top research labs and Fortune 500 teams
  • Fully remote and asynchronous — work on your own schedule, from anywhere
  • Your craft directly shapes the quality of AI audio models at scale
  • Clear ownership of your work with autonomy to deliver results
  • High-performing contributors gain access to new programs and leadership opportunities
  • Potential for ongoing work and contract extension

Skills

  • labelbox
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