What if your ability to notice the subtle difference between a crisp recording and a muffled one could directly improve the AI tools millions of people rely on every day?
This is a fully remote, flexible contract role open to anyone with a good ear and an eye for detail. No audio engineering background required.
Why Join Us
Work on cutting-edge AI projects alongside leading research labs.
Fully remote and flexible — work when and where it suits you.
Freelance autonomy with the structure of meaningful, task-based work.
Contribute to AI audio development that has a real, tangible impact.
Potential for ongoing work and contract extension as new projects launch.
Responsibilities
Listen to audio recordings and evaluate them for clarity, accuracy, and overall quality.
Identify issues such as background noise, distortion, mispronunciations, or inconsistent volume.
Verify that transcriptions accurately match their corresponding audio content.
Submit structured, detailed feedback using provided evaluation tools.
Work through batches of audio independently at your own pace and schedule.
Required skills
You have a good ear — you notice subtle differences in audio quality that others might miss.
Detail-oriented and consistent in your judgments across large sets of recordings.
Reliable and self-motivated with the ability to work independently.
Comfortable using audio playback tools and digital interfaces.
Preferred skills
Experience in transcription, podcasting, music, or audio production.
Familiarity with AI tools or data annotation workflows.
Background in quality assurance or structured review processes.
Experience and education
No audio engineering or professional experience required.
Thriveth makes AI data-training work easier to find, understand, and navigate. We replace uncertainty with clear opportunities, realistic expectations, and insights from real application journeys.
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