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Audiobook QA Expert — English (US)

Mercor · 100% remote · Contract · Posted

Pay
$20–25/hr
Location
Worldwide
Languages
English
Hours
Roughly 20 hours per week
Openings
Not listed
Level
Experienced
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Summary

Listen to AI-narrated audiobooks, evaluate narration quality, spot and log errors in synthesized speech, and report on listener satisfaction.

What you'll do

  • Listen to AI-narrated audiobooks in English
  • Assess naturalness, accuracy, and enjoyment of narration
  • Spot and log errors in synthesized speech
  • Categorize issues and mark exact spans using review tooling
  • Report on overall listener satisfaction
  • Work consistently across many hours of audio

Requirements

  • Native or near-native fluency in US English
  • Be an active audiobook listener
  • Communicate clearly in English
  • Have experience in annotation, labeling, transcription, proofreading, linguistics, or similar
  • Maintain attention to detail over long listening sessions
  • Be available about 20 hours per week

Skills

  • Audio QA
  • Annotation
  • Linguistics
  • Proofreading
  • Transcription

Full description

Help make the next generation of AI-narrated audiobooks sound genuinely human.

1. Overview

We're building a team of native English speakers who love audiobooks to help evaluate AI-narrated (text-to-speech) audiobooks in US / North American English. You'll listen the way a real audiobook fan does — but with a careful, analytical ear — and flag the moments where the narration slips, so the underlying models can be made better.

This is remote, part-time work at roughly 20 hours per week (about 4 hours per day). You can be based anywhere, though we prefer people living in a region where English is natively spoken.

2. What You'll Do

  • Listen to AI-narrated audiobooks in English and assess how natural, accurate, and enjoyable the narration is.
  • Spot and log errors in the synthesized speech — skipped, added, or mispronounced words; numbers read incorrectly; abbreviations expanded wrongly; unnatural phrasing or intonation; audio glitches and artifacts.
  • Categorize each issue and mark the exact span where it occurs, using our review tooling.
  • Report on overall listener satisfaction and where the narration feels natural versus where it breaks the experience.
  • Work consistently and carefully across many hours of audio without losing attention to detail.

3. Who We're Looking For

  • Native or near-native fluency in English (US / North American English), and an active, genuine audiobook listener — someone who listens regularly and has real opinions about what makes a good listen.
  • Enough working English to report clearly and communicate with the team.
  • Some experience with annotation, labeling, transcription, proofreading, linguistics, or other detail-oriented review work.
  • A sharp, patient ear and the discipline to stay accurate over long listening sessions.
  • Reliable availability of about 20 hours per week on a part-time basis.

Nice to Have

  • Prior experience on AI training-data, model-evaluation, or audio/QA annotation projects.
  • A background in language, editing, voice, or audio production.

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