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AI Data Associate with Dutch, Artificial General Intelligence Data Services

AI Data Associate with Dutch, Artificial General Intelligence Data Services at Amazon scores 70 out of 100 on AI centrality, which makes it a Level 3 role on this board.

NL, Den Haagmidfull-time

AI in this role

Review and label multilingual text, speech, and video data to support generative AI model development.

in-house-tools

data-annotationllmdialogue-evaluation

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 ability to pivot from one category of requirement to another instantaneously.
- Demonstrate support on daily operational deliverables for multiple task types assigned to you and the team
- Analyze root causes, identify error patterns, and propose solutions to enhance the quality of labeling tasks and their outputs.
- Responsible for identifying day-to-day process and operational issues in Standard Operating Procedure, tools and suggest changes to unblock operations
- Demonstrate ownership in floor support to clarify internal queries during execution on need basis

A day in the life
We are looking for a ML Data Associate (MLDA) to undertake the task of foundational labeling functions, such as dialogue evaluation on speech, text, audio, video data.

Your ability to concentrate, multi-task and your high attention to detail helps you deliver high-quality work as well as maintaining strict confidentiality and follow all applicable Amazon policies for securing confidential information. You will be a part of a diverse team with the shared vision of improving customers’ lives with practical, useful generative AI innovations. An inner drive, individuality, and a creative mind are extremely beneficial.

Basic qualifications

- Associate's degree or above
- Speak, write, and read fluently in Dutch
- Speak, write, and read fluently in English
- Experience writing business requirements documents, functional specifications, and use cases
- Ability to read and analyze complex business documents.
- Ability to interpret and implement detailed instructions across various projects.
- Experience in research, gathering and synthesizing information from multiple sources.

Preferred qualifications

- Bachelor's degree or above
- Experience working in a related industry
- Knowledge of Microsoft Office products and applications at an advanced level
- Experience using open-source resources for research.
- 1+ years of project management or project coordination experience
- Experience managing stakeholder relationships across departments.

Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Prepare for this job

A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.

Skills and AI tools this role asks for

Data AnnotationLlmDialogue EvaluationIn House Tools

Questions you could be asked

Tell me about a project where data annotation was part of your work. What did you do?
Tell me about a project where llm was part of your work. What did you do?
Tell me about a project where dialogue evaluation was part of your work. What did you do?
What's a project where you used In House Tools hands-on?
Describe a typical day in a role like this one: which parts run through AI directly?

Adapt your resume

List these exact terms on your resume: Data Annotation, Llm, Dialogue Evaluation, and In House Tools. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
Show where AI is part of your daily process, not a one-off project — this role expects it to be a running habit.

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