Audio Quality Reviewer (AI Training)
About The Role
What if your ears could help shape the future of artificial intelligence We're looking for Audio Quality Reviewers to evaluate audio recordings that power cutting-edge AI systems. Your feedback will directly influence how AI hears, understands, and processes sound — making a real and lasting impact on the technology millions of people use every day.
This is a fully remote, flexible contract role open to anyone with a keen ear and a sharp eye for detail. No audio engineering degree required.
- Organization: Alignerr
- Type: Hourly Contract
- Location: Remote
- Commitment: 10–40 hours/week
What You'll Do
- Listen to audio recordings and evaluate them for clarity, accuracy, and overall technical quality
- Identify issues such as background noise, mispronunciations, distortion, or inconsistencies
- Verify that transcriptions accurately match spoken audio content
- Provide structured, detailed feedback on each recording using clear rating guidelines
- Work through batches of audio independently and at your own pace
Who You Are
- A strong, attentive listener with the ability to detect subtle audio differences
- Detail-oriented with consistent, reliable judgment across large volumes of content
- Comfortable working independently with audio playback tools and online platforms
- Equipped with a pair of headphones or earbuds for accurate listening
- Self-motivated and able to manage your own schedule
- No prior audio engineering or AI experience required
Nice to Have
- Background in music, broadcasting, linguistics, or transcription
- Familiarity with audio production or quality assurance workflows
- Experience providing structured feedback or working in evaluation-based roles
Why Join Us
- Work on real AI projects alongside leading research labs and top AI organizations
- Fully remote and flexible — set your own hours and work from anywhere
- Freelance autonomy with meaningful, task-based work that keeps things varied
- Contribute to AI audio technology that has a tangible impact on how machines understand the world
- Potential for ongoing work and contract extension as new projects launch
