
Artificial Intelligence • SaaS • Enterprise
Invisible Technologies Inc. is a rapidly growing company that integrates world-leading AI with global human talent to enable AI adoption for enterprises. By combining artificial intelligence with human expertise in an integrated platform, Invisible Technologies focuses on training AI models, automating processes, and enhancing digital operations. The company's services include AI training, enablement, and intelligent operations solutions, catering to various industries such as financial services, healthcare, eCommerce, and technology. With significant growth recognized by the Deloitte Technology Fast 500 in 2024, Invisible Technologies helps organizations achieve transformational outcomes and significant ROI through expert process automation and AI solutions.
July 4

Artificial Intelligence • SaaS • Enterprise
Invisible Technologies Inc. is a rapidly growing company that integrates world-leading AI with global human talent to enable AI adoption for enterprises. By combining artificial intelligence with human expertise in an integrated platform, Invisible Technologies focuses on training AI models, automating processes, and enhancing digital operations. The company's services include AI training, enablement, and intelligent operations solutions, catering to various industries such as financial services, healthcare, eCommerce, and technology. With significant growth recognized by the Deloitte Technology Fast 500 in 2024, Invisible Technologies helps organizations achieve transformational outcomes and significant ROI through expert process automation and AI solutions.
• 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. • That training data begins with you—we need your expertise to help power the next generation of AI. • 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. • 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.
• 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.
• Company-sponsored benefits such as health insurance and PTO do not apply.
Apply NowMay 11
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