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Invisible Technologies AI

AI-assisted business process outsourcing platform

Sound Engineering Specialist - Freelance AI Trainer Project

Natural Language Processing & LLMsConfirmed live in the last 24 hours
ContractRemote in UK$8 - $65 /hrRemote

About the Job

Requirements

  • A bachelor's or master's degree in Sound Engineering, Acoustical Engineering, Electrical Engineering with an audio specialization, or a related field is ideal.
  • Hands-on experience with live sound rigs, studio installations, broadcast setups, or touring productions is a strong fit.
  • Familiarity with Dante Controller, Smaart, QLab, and mixing consoles from Yamaha, Avid, or Allen & Heath is a plus.
  • Clear, structured communication is essential.

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.
  • Challenge advanced language models on gain staging, PA tuning, time alignment, routing and patching, impedance matching, analog-to-digital conversion, and broadcast audio standards, documenting every failure mode.

Desired Qualifications

  • Familiarity with tools such as Dante Controller, Smaart, QLab, and mixing consoles from Yamaha, Avid, or Allen & Heath is a plus.

About the Company

Invisible Technologies AI

AI-assisted business process outsourcing platform

Invisible Technologies automates repetitive digital work by combining artificial intelligence with a global team of human agents. It offers a subscription-based BPO platform where clients get a dedicated assistant who oversees and delegates tasks, using AI to speed up work and human agents to ensure accuracy. The product works through a high-touch service model: clients subscribe, access a portal to track task progress, usage, and billing, and rely on a dedicated assistant to manage workflows. The company differentiates itself with its transparent, subscription-based approach, long-term partnerships, and the pairing of AI with a global workforce to replace traditional outsourcing and provide more predictable pricing and results. Its goal is to streamline client operations, improve efficiency, and reduce costs by delivering digital work faster, better, and cheaper through ongoing, managed automation.

Company size
1,001-5,000
Company stage
Growth Equity (Venture Capital)
Total funding
$107.9M
Headquarters
New York City, New York
Founded
2015

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