Multimodal Data Labeling Specialist

Jobster; Den Haag; On-site; EUR 36,000 - 52,000; Full time

Job summary

Amazon is seeking an ML Data Associate to perform foundational labeling across speech, text, audio, video data. The role emphasizes concentration, multi-tasking, and strict confidentiality while delivering high-quality data for AI development.

Join a diverse team focused on practical generative AI innovations, with an inner drive, individuality, and a creative mind being highly beneficial for success.

Qualifications

• Fluent in Dutch (CEFR C1+) and proficient in English (CEFR C1+).
• Strong business writing, reporting, proposals, and professional correspondence skills.
• Ability to read complex documents and extract key information.
• Analytical thinker with structured problem-solving abilities.
• Ability to interpret and implement detailed instructions across projects.
• Proficient research skills; able to synthesize information from multiple sources.
• Excellent attention to detail and task management.

Responsibilities

• Label data across text, speech, audio, image, and video data with high quality.
• Follow guidelines and use in-house tools to meet KPIs responsibly.
• Generate high-quality human insight data across modalities (text, image, video, audio).
• Identify issues in processes and propose improvements to standard operating procedures.
• Provide floor support and clarify internal queries during execution as needed.

Skills

Dutch fluency (CEFR C1+)

English fluency (CEFR C1+)

Business writing

Analytical thinking

Instruction comprehension

Research skills

Attention to detail

Task prioritization

Education

Associate’s degree or related experience

Bachelor’s degree in a relevant field

Tools

Microsoft Office Suite

Job description

Amazon is seeking an ML Data Associate to perform foundational labeling across speech, text, audio, video data. The role emphasizes concentration, multi-tasking, and strict confidentiality while delivering high-quality data for AI development.

Join a diverse team focused on practical generative AI innovations, with an inner drive, individuality, and a creative mind being highly beneficial for success.