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Why this grade This listing scored 76/100, which is a B. It lost the most ground on remote clarity. See the breakdown
- Pay transparency 25 / 25 A published salary range, worth more than any other single factor because it is what a candidate cannot find out without applying.
- Description depth 20 / 20 How much the posting actually says about the work, measured in characters of real text.
- Freshness 12 / 15 How recently it was posted. Older postings are likelier to be filled or abandoned.
- Remote clarity 8 / 15 Whether "remote" means anywhere, or is quietly restricted to one country.
- Role specificity 6 / 10 Whether the listing is tagged well enough to tell what the role actually is.
- Corroboration 5 / 10 Whether more than one source carries this listing.
Every figure above is arithmetic over the posting itself — its salary field, its text, its age, its tags and how many sources carry it. How the grades work →
Data Science Mid level Full Time
Are you an audio editing expert eager to shape the future of AI? Large‑scale language models are evolving from clever chatbots into powerful engines of multimedia understanding. With high‑quality training data, tomorrow’s AI can democratize world‑class education, support creative professionals, and streamline production workflows for studios and audio engineers everywhere. That training data begins with you—we need your expertise to help power the next generation of AI.
We’re looking for audio editing specialists who live and breathe sound design, waveform editing, noise reduction, mixing and mastering, multitrack session work, and vocal processing. You’ll challenge advanced language models on topics like EQ balancing, compression techniques, spatial audio, automation envelopes, DAW workflows, podcast editing, and audio post-production for film—documenting every failure mode so we can harden model reasoning.
On a typical day, you will converse with the model on editing scenarios and theoretical audio engineering questions, verify technical accuracy and creative logic, capture reproducible error traces, and suggest improvements to our prompt engineering and evaluation metrics.
A bachelor’s or master’s degree in Audio Engineering, Music Production, Acoustics, or a closely related field is ideal; studio experience, a professional editing portfolio, or hands-on work in tools like Pro Tools, Audition, Logic Pro, Reaper, or Ableton Live signals fit. Clear, metacognitive communication—“showing your work”—is essential.
Ready to turn your audio expertise into the knowledge base for tomorrow’s AI? Apply today and start teaching the model that will teach the world.
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: Audio Editing Specialist – AI Trainer
Employment type: Contract
Workplace type: Remote
Seniority level: Mid‑Senior Level
Originally posted on Himalayas
Apply for this role Opens himalayas.app — the link as listed; we have not yet verified it is the employer's own page
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Where this listing came from
- 20 Sep 2026 Himalayas first sighting
Seen on 1 board over 0 days.