Large-scale language models are evolving into powerful tools for audio innovation, and high-quality training data is needed to enable tomorrow's AI to assist engineers in designing studio systems, optimizing acoustics, and solving real-world production challenges at scale. The company needs sound engineering expertise to help power the next generation of AI by training these models.
Requirements
- Sound engineering expertise
- Experience with live sound reinforcement
- Experience with microphone technique
- Experience with signal flow
- Experience with acoustics
- Experience with mixing consoles
- Experience with audio interfaces
- Experience with sound system calibration
Responsibilities
- Challenge advanced language models on topics like gain staging, PA tuning, time alignment, routing and patching, impedance matching, analog-to-digital conversion, and broadcast audio standards
- Document every failure mode so we can harden model reasoning
- Converse with the model on complex audio system design and troubleshooting scenarios
- Validate engineering accuracy
- Identify gaps in signal-chain logic
- Recommend improvements to prompt structures and model evaluation methods
Other
- A bachelor's or master's degree in Sound Engineering, Acoustical Engineering, Electrical Engineering (with audio specialization), or a related field is ideal
- Hands-on experience with live sound rigs, studio installations, broadcast setups, or touring productions signals strong fit
- Familiarity with tools like Dante Controller, Smaart, QLab, and mixing consoles from Yamaha, Avid, or Allen & Heath is a plus
- Clear, structured communication—"showing your signal path"—is essential
- As a contractor you'll supply a secure computer and high‑speed internet
- company‑sponsored benefits such as health insurance and PTO do not apply
