Audiobook QA Expert — Dutch
We're building a team of native Dutch speakers who love audiobooks to help evaluate AI-narrated (text-to-speech) audiobooks in Dutch (Netherlands).
Hiring companyMercor
About the role
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.
Contract and Payment Terms
- You will be engaged as an independent contractor.
- This is a fully remote role that can be completed on your own schedule.
- Projects can be extended, shortened, or concluded early depending on needs and performance.
- Your work at Mercor will not involve access to confidential or proprietary information from any employer, client, or institution.
Responsibilities
- Listen to AI-narrated audiobooks 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.
Required skills
- 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.
Preferred skills
- Prior experience on AI training-data, model-evaluation, or audio/QA annotation projects.
- A background in language, editing, voice, or audio production.
Eligibility
Work arrangement: Fully remote
Eligible locations: Worldwide
- Please note: We are unable to support H1-B or STEM OPT candidates at this time.
Compensation details
- Payments are weekly on Stripe or Wise based on services rendered.
More about the hiring companyMercor
