Remote Pro Tools Audio Engineer for AI Training

Alignerr Corp.; United States; Remote; MXN 509,000 - 1,017,000; Full time

Job summary

Labelbox is seeking an experienced Audio Engineer to help evaluate and improve AI systems trained on audio content. Your Pro Tools expertise will shape how AI understands, produces, and refines sound in a remote, hourly-contract role.

Produce, mix, and master high-quality audio, review outputs for clarity, and provide feedback to enhance AI-driven audio processing. Ideal candidates have a strong track record and access to a quiet, acoustically treated workspace.

Qualifications

• Experience 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.

Responsibilities

• 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.

Skills

Audio engineering

Sound design

Music production

Attention to detail

Tools

Pro Tools

Job description

Labelbox is seeking an experienced Audio Engineer to help evaluate and improve AI systems trained on audio content. Your Pro Tools expertise will shape how AI understands, produces, and refines sound in a remote, hourly-contract role.

Produce, mix, and master high-quality audio, review outputs for clarity, and provide feedback to enhance AI-driven audio processing. Ideal candidates have a strong track record and access to a quiet, acoustically treated workspace.