engineering
Posted Feb 12Sound Engineering Specialist - Freelance AI Trainer Project
at Agency
United KingdomOn-site
Requirements
- Are you a sound engineering expert eager to shape the future of AI? Large‑scale language models are evolving from clever chatbots into powerful tools for audio innovation.
- With high‑quality training data, tomorrow’s AI can assist engineers in designing studio systems, optimizing acoustics, and solving real-world production challenges at scale.
- That training data begins with you—we need your expertise to help power the next generation of AI.
- 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.
- Ready to turn your sound engineering expertise into the backbone of tomorrow’s AI? Apply today and help shape the tools that will power the next generation of audio technology.
- Job title: Sound Engineering Specialist – AI Trainer
Benefits
- We offer a pay range of $8-to- $65 per hour, with the exact rate determined after evaluating your experience, expertise, and geographic location.
- Final offer amounts may vary from the pay range listed above.
- benefits such as health insurance and PTO do not apply.
Additional details
- We’re looking for sound engineering specialists who live and breathe live sound reinforcement, microphone technique, signal flow, acoustics, mixing consoles, audio interfaces, and sound system calibration.
- You’ll 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—documenting every failure mode so we can harden model reasoning.
- On a typical day, you will converse with the model on complex audio system design and troubleshooting scenarios, validate engineering accuracy, identify gaps in signal-chain logic, and recommend improvements to prompt structures and model evaluation methods.