About the job
Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.
Position: Audiobook QA Expert — Dutch
Type: Contract
Compensation: $15–$20/hour
Location: Remote
Commitment: 20 hours/week
Role Responsibilities
- Listen to AI-narrated audiobooks in Dutch and assess the naturalness, accuracy, and enjoyment of the narration.
- Spot and log errors in synthesized speech, including skipped, added, or mispronounced words, incorrect numbers, and unnatural phrasing.
- Categorize issues and mark the exact span where they occur using our review tooling.
- Report on overall listener satisfaction, highlighting where narration feels natural and where it breaks the experience.
- Work consistently and carefully across many hours of audio without losing attention to detail.
Qualifications
Must-Have
- Native or near-native fluency in Dutch (Netherlands).
- Active, genuine audiobook listener with real opinions on what makes a good listen.
- Enough working English to report clearly and communicate with the team.
- Experience with annotation, labeling, transcription, proofreading, linguistics, or other detail-oriented review work.
- Reliable availability of about 20 hours/week on a part-time basis.
Preferred
- Experience on AI training-data, model-evaluation, or audio/QA annotation projects.
- Background in language, editing, voice, or audio production.
Application Process (Takes 20–30 mins to complete)
- Upload resume
- AI interview based on your resume
- Submit form
Resources & Support
- For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome
- For any help or support, reach out to: support@mercor.com
PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.
#hiringmercor
- Werkvergunningen
- Nederland
- Tijdzones
- Nederland