About the role
Audio Engineers - Pro Tools (Contract)
Labelbox • Remote (United States preferred)Shape the data that powers frontier AI
Quick facts
- Engagement - Hourly, at‑will contractor
- Schedule - Fully remote & asynchronous (min. 15 hrs/week)
- Pay Range (US) - \$45 – \$65 per hour
- Start Date - Rolling — staffed as projects launch
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 constructive feedback to improve AI-driven audio processing and production tools.
You’re a great fit if
- Experience in audio engineering, sound design, or music production with a strong command of Pro Tools (Required).
- Access to professional-grade audio equipment and a quiet, acoustically treated workspace (Required).
- Proven ability to deliver high-quality mixes and masters efficiently and consistently.
- Exceptional attention to detail in audio balance, clarity, and technical precision.
- Interest in AI-driven audio processing, sound analysis, or machine learning applications in music and sound.
- Bonus: Experience with audio dataset creation, labeling, or AI audio model training projects.
About the role
- Flexible workload — work from anywhere, on your own schedule
- High impact — your craft directly improves models used by top AI labs & Fortune 500 teams
- Clear ownership — know exactly what success looks like and have autonomy to deliver
- Growth potential — consistent high performers spearhead new programs and mentor incoming SMEs
Interview process
- Complete a screening with Zara, our AI interviewer in English, to learn more about your background and experience.
About Labelbox
Labelbox builds the data engine that accelerates breakthrough AI. Our platform, expert services, and marketplace let teams iterate on data as nimbly as they iterate on code, enabling safer, smarter models in production. We’re backed by SoftBank, Andreessen Horowitz, B Capital, Gradient Ventures, Databricks Ventures, and Kleiner Perkins, and trusted by leading research labs and enterprises worldwide.
Ready to Apply?
Click “Apply” above!
We review candidates on a rolling basis and will contact you if your background matches an active project.
Aplyr's read
Labelbox is a cutting-edge data training platform focused on enhancing AI capabilities through efficient data annotation. Ideal for tech professionals passionate about AI and machine learning.
What's promising
- •Labelbox offers a robust platform that significantly accelerates AI model training.
- •The company is at the forefront of AI data annotation, a rapidly growing field.
- •Recent roles indicate a strong focus on diverse AI applications and research.
What to watch
- •The niche focus on data annotation may limit broader tech career opportunities.
- •Highly specialized roles might require advanced expertise in AI and machine learning.
- •Potential candidates may face intense competition due to the company's innovative reputation.
Why Labelbox
- •Labelbox uniquely integrates data annotation with AI model improvement.
- •The company emphasizes a forward-deployed engineering approach, embedding engineers directly with clients.
- •Its platform is designed to streamline complex data labeling processes efficiently.
Aplyr’s read is generated by AI from public sources. Was it useful?
About Labelbox
Labelbox is a data training platform that enables organizations to build and manage high-quality training datasets for machine learning applications. By streamlining the data labeling process, Labelbox empowers teams to accelerate their AI initiatives and improve model performance.
