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Audiobook QA Expert — French

$15–$20/h

Remote — preferred: France

Role overview

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

1. Overview

We're building a team of native French speakers who love audiobooks to help evaluate AI-narrated (text-to-speech) audiobooks in French (France). 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 French is natively spoken.

2. What You'll Do

  • Listen to AI-narrated audiobooks in French 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 French (France), 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 (you do not need to be bilingual).
  • 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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