Multimodal Data Labeling Specialist

Amazon

Den Haag

On-site

EUR 32,000 - 52,000

Full time

5 days ago
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Job summary

Amazon Development Center (Netherlands) B.V. is seeking a ML Data Associate to perform foundational labeling across speech, text, image and video data. You will work under guidelines to produce high-quality labeled data while maintaining strict confidentiality and adhering to Amazon policies.

Join a diverse team focused on responsible AI innovations. The role emphasizes attention to detail, multi-tasking, and collaboration with stakeholders across departments, with opportunities to contribute to

Qualifications

  • An Associate’s Degree or related work experience.
  • CEFR C1+ Dutch and CEFR C1+ English.
  • Strong business writing and communication skills.
  • Analytical thinking and structured problem-solving abilities.
  • Ability to interpret and implement detailed instructions across projects.
  • Proven research skills and synthesizing information.

Responsibilities

  • Maintain and improve data labeling quality across text, speech, image, and video.
  • Follow guidelines and use in-house tools to deliver high-quality labeled data.
  • Analyze root causes and propose improvements to labeling processes.
  • Support daily operational tasks and address internal queries as needed.
  • Ensure confidentiality and comply with Amazon policies.

Skills

Dutch (C1+) & English (C1+)
Business writing
Analytical thinking
Instruction following
Research skills
Attention to detail
Multitasking

Education

Associate’s Degree or related work experience
Bachelor’s degree in a relevant field

Tools

MS Office (Excel, Word, PowerPoint)

Job description

Amazon Development Center (Netherlands) B.V. is seeking a ML Data Associate to perform foundational labeling across speech, text, image and video data. You will work under guidelines to produce high-quality labeled data while maintaining strict confidentiality and adhering to Amazon policies.

Join a diverse team focused on responsible AI innovations. The role emphasizes attention to detail, multi-tasking, and collaboration with stakeholders across departments, with opportunities to contribute to

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