Sound Engineering Specialist - Freelance AI Trainer Project

Benefits

Parental leave

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Non-birth-parent leave

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Family-building benefits

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• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

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Relocation assistance

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Childcare support

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Learning budget

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Salary

$8-$8/hr not verified - source not recorded; timestamp not recorded

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Market context

U.S. role benchmark (BLS OEWS)

$111,944 U.S. median for this role

Projected growth (BLS Employment Projections)

+13.7% - Much faster than average

U.S. benchmark only; posted salary is not compared across countries or currencies.

Matched to SOC 15-1252 - Data and ML aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Schedule

Shift type

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Weekend work

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Application

Cover letter

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Assessment

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Deadline

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Where they hire

State eligibility is not yet verified.

About this role

Sound Engineering Specialist - Freelance AI Trainer Project United Kingdom 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?

Read the full description at job-boards.eu.greenhouse.io. FewerJobs shows a source-linked preview and links to the original posting.