We're looking for Audio Quality Reviewers to evaluate audio recordings and provide the kind of detailed, human feedback that machines simply can't replicate on their own.
What if your sharp ears could help shape the way AI understands and processes sound?
This is a fully remote, flexible contract role open to anyone with a good ear, strong attention to detail, and a reliable pair of headphones. No audio engineering background required.
Why Join Us
Work on cutting-edge AI audio projects alongside leading research labs.
Fully remote and flexible — work whenever and wherever suits you.
Freelance autonomy with meaningful, structured task-based work.
Contribute to AI development that shapes how technology hears and understands the world.
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 unnatural phrasing.
Verify that transcriptions accurately match spoken audio content.
Rate recordings using structured evaluation criteria and provide clear, actionable feedback.
Work through batches of audio independently, at your own pace and on your own schedule.
Required skills
A sharp listener with the ability to detect subtle differences in audio quality.
Detail-oriented and consistent — you apply the same high standard across every review.
Comfortable working with audio playback tools and digital interfaces.
Self-motivated and reliable when working independently.
Preferred skills
Experience in transcription, voice-over, podcast production, or music.
Familiarity with audio quality standards or evaluation workflows.
Background in quality assurance, content review, or data annotation.
Experience and education
No audio engineering or professional audio experience required.
Equipment requirements
In possession of a working pair of headphones or earbuds.
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.