Audio Engineer - Pro Tools

Audio Engineer - Pro Tools$25-50/hr Remote Freelance AUDIOLabelbox • Remote (United States preferred) Shape the data that powers frontier AIQuick factsEngagement | Hourly, at-will contractorSchedule | Fully remote & asynchronous (min. 15 hrs/week)Pay Range (US) | $25 – $50 per hourStart Date | Rolling — staffed as projects launchWhat you'll doProduce, 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.You're a great fit ifExperience 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 roleFlexible workload — work from anywhere, on your own scheduleHigh impact — your craft directly improves models used by top AI labs & Fortune 500 teamsClear ownership — know exactly what success looks like and have autonomy to deliverGrowth potential — consistent high performers spearhead new programs and mentor incoming SMEsInterview processComplete a screening with Zara, our AI interviewer in English, to learn more about your background and experience.About LabelboxLabelbox 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. We're backed by SoftBank, Andreessen Horowitz, B Capital, Gradient Ventures, Databricks Ventures, and Kleiner Perkins, and trusted by leading research labs and enterprises worldwide.