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Sound Engineering Specialist - Freelance AI Trainer Project

Role overview

Qualifications

  • Bachelor's or master's degree in Sound Engineering, Acoustical Engineering, Electrical Engineering (with audio specialization), or a related field
  • Hands-on experience with live sound rigs, studio installations, broadcast setups, or touring productions
  • Familiarity with tools like Dante Controller, Smaart, QLab, and mixing consoles from Yamaha, Avid, or Allen Heath
  • Clear, structured communication skills

Responsibilities

  • Converse with the model on complex audio system design and troubleshooting scenarios
  • Validate engineering accuracy and identify gaps in signal-chain logic
  • Recommend improvements to prompt structures and model evaluation methods
  • Document failure modes to enhance model reasoning

Key facts

Hard skills

Other skills

  • Communication

About the company

Meridial Marketplace, by Invisible logo

Meridial Marketplace, by Invisible

Artificial Intelligence & Machine Learning Services

Unknown

Company details

IndustryArtificial Intelligence & Machine Learning Services
Company sizeUnknown

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Job description

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.

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.

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.

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.

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. 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.

Job title: Sound Engineering Specialist – AI Trainer
Employment type: Contract
Workplace type: Remote
Seniority level: Mid‑Senior Level

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Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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