Audiobook QA Expert — Dutch - review AI outputs specialty
Listed on 2026-10-02
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Science
AI Evaluation, Data Annotation/ AI Labeling
Help make the next generation of AI-narrated audio books sound genuinely human.
OverviewWe're building a team of native Dutch speakers who love audio books to help evaluate AI-narrated (text-to-speech) audio books in Dutch (Netherlands). 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 Dutch is natively spoken.
Listen to AI-narrated audio books in Dutch 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.
- Native or near-native fluency in Dutch (Netherlands), 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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