AI Data Associate With Dutch, Artificial General Intelligence Data Services

Amazon Amazon · Big Tech · Den Haag, Netherlands · Editorial, Writing, & Content Management

This role focuses on foundational data labeling for AI, including text, speech, audio, image, and video data. The associate will work with in-house tools to deliver high-quality labeled data, meet KPIs, and analyze root causes of errors to improve labeling tasks. The role involves daily operational deliverables, floor support, and contributing to the responsible development of generative AI.

What you'd actually do

  1. Deliver high-quality labelled data, using guidelines provided to meet our KPIs and using in-house tools and software, as part of Amazon's commitment to developing and deploying AI responsibly.
  2. Demonstrate proficiency in generating high quality human insight data across a range of modalities, inclusive of text, image video and audio.
  3. Analyze root causes, identify error patterns, and propose solutions to enhance the quality of labeling tasks and their outputs.
  4. Responsible for identifying day-to-day process and operational issues in Standard Operating Procedure, tools and suggest changes to unblock operations
  5. Demonstrate ownership in floor support to clarify internal queries during execution on need basis

Skills

Required

  • CEFR C1+ or equivalent fluency in Dutch language
  • Written and spoken knowledge of English is essential (CEFR C1+)
  • Strong business writing skills with ability to create reports, proposals, and professional correspondence
  • Advanced reading comprehension with ability to analyze complex business documents

Nice to have

  • 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

What the JD emphasized

  • strict confidentiality

Other signals

  • labelled data
  • human insight data
  • dialogue evaluation on speech, text, audio, video data