About the Role
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, generates, and refines sound — making a real impact on the next generation of audio technology.
- 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
- Proven ability to deliver high-quality mixes and masters efficiently and consistently
- Exceptional attention to detail in audio balance, clarity, and technical precision
- Self-motivated and comfortable working independently on an asynchronous schedule
- Genuinely curious about AI-driven audio processing and where the technology is headed
Nice to Have
- Experience with audio dataset creation, labeling, or AI audio model training
- Background in sound analysis or machine learning applications in music and audio
- Familiarity with AI evaluation workflows or quality assurance for audio content
Why Join Us
- Fully remote and flexible — work on your own schedule from anywhere
- High-impact work — your craft directly improves AI models used by leading research labs and enterprises worldwide
- Clear ownership — know exactly what success looks like with the autonomy to deliver it
- Growth potential — top performers take on expanded responsibilities and help shape new programs
- Backed by world-class investors including Andreessen Horowitz, SoftBank, and Kleiner Perkins