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Audio Engineer - Pro Tools

Alignerr

AI Expert - Music & Audio Contractor
Remote (Global) $20 – $30/hr July 14, 2026

Job description

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

Nice to Have

  • 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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