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Senior Data Associate with Dutch, Artificial General Intelligence Data Services


Overview

In this ML Data Associate role, you will help build and refine foundational data for generative AI across multi-modal content (text, speech, image, video) while upholding strict confidentiality. You’ll work with diverse data, follow guidelines to produce high-quality labeled outputs, and contribute to AI deployment initiatives. The position emphasizes accuracy, operational support, and continuous improvement of labeling processes. You will join a diverse team focused on delivering practical AI innovations that enhance customer experiences.

Verantwoordelijkheden
  • Maintain strict confidentiality and protect customer privacy
  • Handle multi-modal data (text, speech, audio, image, video)
  • Deliver high-quality labeled data per guidelines using in-house tools
  • Generate high-quality human insight data across modalities
  • Make sound judgments in ambiguous situations
  • Demonstrate attention to detail and adaptability across requirements
  • Support daily operational deliverables for multiple tasks
  • Analyze root causes, identify error patterns, and suggest quality improvements
  • Identify and suggest changes to SOPs and tools to unblock operations
  • Provide on-floor support to clarify internal queries during execution
Belangrijkste vereisten
  • An Associate’s Degree or related work experience
  • CEFR C1+ or equivalent fluency in Dutch
  • Written and spoken English at CEFR C1+ level
  • Strong business writing skills for reports and correspondence
  • Advanced reading comprehension and analytical thinking
  • Ability to interpret and implement detailed instructions across projects
  • Proficient research skills to gather and synthesize information
  • Proven attention to detail in managing complex tasks and documents
  • Experience in managing multiple tasks and stakeholders (implied)
  • Bachelor’s degree in a relevant field is preferred
  • attention to detail
  • multi-tasking
  • confidentiality
  • data labeling across multiple modalities
  • multi-modal data handling
  • use of in-house data labeling tools and software

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