Audio Engineer - Pro Tools

Audio Engineers - Pro Tools (Contract)
Labelbox

• Remote (United?States preferred) Shape the data that powers frontier AI
  

Quick facts - Engagement - Hourly, at?will contractor- Schedule - Fully remote & asynchronous (min.?15?hrs/week)- Pay Range (US): $20?$30 per hour- Start Date - Rolling staffed as projects launch
What youll 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 feedback to improve AI-driven audio processing and production tools.
Youre a great fit if - Experience in audio engineering, sound design, or music production with a strong command of Pro Tools (Required).- Access to professional-grade audio equipment and a quiet, acoustically treated workspace (Required).- Proven ability to deliver high-quality mixes and masters efficiently and consistently.- Exceptional attention to detail in audio balance, clarity, and technical precision.- Interest in AI-driven audio processing, sound analysis, or machine learning applications in music and sound.- Bonus: Experience with audio dataset creation, labeling, or AI audio model training projects.
About the role - Flexible workload work from anywhere, on your own schedule - High impact your craft directly improves models used by top AI labs & Fortune?500 teams - Clear ownership know exactly what success looks like and have autonomy to deliver - Growth potential

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consistent high performers spearhead new programs and mentor incoming SMEs
Application Process (Takes 15-20 min) - Submit your resume - Complete a short screening - Project matching and onboarding
About Labelbox
Labelbox builds the data engine that accelerates breakthrough AI. Our platform, expert services, and marketplace let teams iterate on data as nimbly as they iterate on code, enabling safer, smarter models in production. Were backed by SoftBank, Andreessen?Horowitz, B?Capital, Gradient?Ventures, Databricks?Ventures, and Kleiner?Perkins, and trusted by leading research labs and enterprises worldwide.
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We review candidates on a rolling basis and will contact you if your background matches an active project.