Audio Engineer - Pro Tools

Overview
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 professional ear and Pro Tools expertise will directly shape how AI understands, produces, and refines sound — making a meaningful impact on the next generation of audio technology.

Role Details

Organization: Labelbox

Type: Hourly Contract

Location: Remote

Commitment: 15+ hours/week, fully asynchronous

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 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 a strong command of Pro Tools

Access to professional-grade audio equipment and a quiet, acoustically treated workspace

Proven ability to deliver high-quality mixes and masters efficiently and consistently

Exceptional attention to detail in 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, labeling, or AI audio model training projects

Familiarity with machine learning workflows or AI evaluation tasks

Background in multiple audio genres or production styles

Why Join Us

High impact — your craft directly improves AI audio models used by top research labs and Fortune 500 teams

Full flexibility — work remotely, on your own schedule, from anywhere

Clear ownership — know exactly what success looks like with autonomy to deliver your best work

Growth potential — consistent top performers take the lead on new programs and mentor incoming experts

Cutting-edge work — contribute to frontier AI projects at the intersection of audio and machine learning

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