Audio Engineer - Pro Tools

Audio Engineer – Pro Tools (AI Training)
We're looking for experienced Audio Engineers to evaluate and improve AI systems trained on audio content. Your production expertise directly shapes how AI understands, processes, and generates sound, making a real impact on the future of audio technology.

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

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 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.

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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