Audio Engineer - Pro Tools

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 production expertise will directly shape how AI understands, processes, and generates sound — making a real impact on the future of audio technology.

This is a fully remote, asynchronous contract role ideal for audio professionals who want to apply their craft to cutting‑edge AI projects on a flexible schedule.

Job Details

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 (required)

Owner of professional‑grade audio equipment with access to a quiet, acoustically treated workspace (required)

Proven track record of delivering high‑quality 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, labeling, or AI audio model training

Background in sound‑for‑picture, broadcast, or game audio

Familiarity with AI or data annotation workflows

Why Join Us

High impact — your craft directly improves AI models used by leading research labs and enterprise teams worldwide

Fully remote and flexible — work from anywhere, on your own schedule, asynchronously

Clear ownership — know exactly what success looks like and have the autonomy to deliver it

Growth potential — consistent high performers are tapped to lead new programs and mentor incoming contributors

Meaningful work — help define how the next generation of AI tools understands and produces sound

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