Dutch AI Data Labeler – Multimodal ML Data Specialist

Amazon Inc.; Amsterdam; Remote; EUR 32,000 - 42,000; Full time

Job summary

Amazon Development Center (Netherlands) B.V. seeks an AI Data Associate with Dutch to join our expanding AI data services.

In this role you will label diverse data types—text, speech, audio, image and video—while maintaining strict confidentiality and meeting KPIs. You will work with in-house tools, deliver high‑quality insights, and help improve labeling quality through careful analysis and cross‑functional collaboration.

Qualifications

• An Associate’s Degree or related work experience.
• CEFR C1+ or equivalent fluency in Dutch.
• Written and spoken English at CEFR C1+.
• Strong business writing skills and ability to create reports, proposals, and professional correspondence.
• Advanced reading comprehension with ability to analyze complex business documents.
• Bachelor’s degree in a relevant field.
• Proven experience with demonstrated task execution ability.
• Proven capacity to leverage open-source resources effectively for comprehensive research purposes.

Responsibilities

• Maintain strict confidentiality of customer data.
• Label data across text, speech, audio, image, and video.
• Deliver high-quality labelled data meeting KPIs using in-house tools.
• Demonstrate proficiency in generating high-quality human insight data across modalities.
• Make sound judgments when faced with ambiguous information.
• Show attention to detail and ability to switch between requirements.
• Support daily operational deliverables for multiple task types.
• Analyze root causes and propose quality improvements for labeling tasks.

Skills

Dutch CEFR C1+

English CEFR C1+

Business writing

Education

Associate’s Degree or related work experience

Bachelor’s degree in a relevant field

Tools

Open-source resources

Job description

Amazon Development Center (Netherlands) B.V. seeks an AI Data Associate with Dutch to join our expanding AI data services.

In this role you will label diverse data types—text, speech, audio, image and video—while maintaining strict confidentiality and meeting KPIs. You will work with in-house tools, deliver high‑quality insights, and help improve labeling quality through careful analysis and cross‑functional collaboration.