junior operations Data Annotator ic Associate's · Posted May 19, 2026
Skills
LLMs

About this role

Amazon is hiring a junior-level Data Annotator in the operations function based in Den Haag, Netherlands. The posting calls out experience with LLMs. Listed education preference: a associate's degree or equivalent.

Role
Data Annotator
Function
operations
Level
junior
Track
Individual contributor
Employment
Full-time
Location
Den Haag, Netherlands
Education
Associate's degree
Department
Editorial, Writing, & Content Management
Posted
May 19, 2026
AI Summary
Data Annotator labels diverse data types (text, speech, audio, image, video) to train AI models. Requires Associate's degree or equivalent work experience, fluent Dutch (CEFR C1+), and advanced English proficiency. Must maintain confidentiality, ensure high-quality output, and identify process improvements.

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Job description

from Amazon careers

AI is the most transformational technology of our time, capable of tackling some of humanity’s most challenging problems. Amazon is investing in generative AI and the responsible development and deployment of large language models (LLMs) across all of our businesses. Come build the future of human-technology interaction with us. We are looking for those candidates who just don’t think out of the box, but make the box they are in ‘Bigger’. The future is now, do you want to be a part of it? Then read on! Key job responsibilities - Maintain and follow strict confidentiality as customer privacy is our most important tenet - Work with a range of different types of data including, but not limited to: text, speech, audio, image, and video - 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. - Demonstrate proficiency in generating high quality human insight data across a range of modalities, inclusive of text, image video and audio. - Capable of making sound judgments and logical decisions when faced with ambiguous or incomplete information while performing tasks. - Eye for detail and…

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