ML Senior Data Associate - Fluent in German Language, Artificial General Intelligence

Amazon; Greater London; On-site; GBP 30,000 - 45,000; Full time

Job summary

A prominent technology company in Greater London is looking for a ML Senior Data Associate fluent in German. You will manage foundational labeling functions for various data types, ensuring quality work while maintaining strict confidentiality. Ideal candidates have an Associate's Degree or equivalent experience, are fluent in both German and English, and demonstrate excellent attention to detail and analytical thinking. Join a diverse team dedicated to advancing artificial intelligence technology in a supportive environment.

Qualifications

• Fluent in both German and English (CEFR C1+).
• Strong analytical thinking and structured problem-solving skills.
• Proficient in managing complex tasks with attention to detail.

Responsibilities

• Maintain confidentiality as customer privacy is paramount.
• Deliver high-quality labeled data using in-house tools.
• Perform end-to-end data execution for labeling tasks.

Skills

Fluency in German (CEFR C1+)

Strong business writing skills

Analytical thinking

Attention to detail

Education

Associate's Degree or related work experience

Bachelor’s degree in a relevant field

Tools

Microsoft Office Suite

Job description

ML Senior Data Associate - Fluent in German Language, Artificial General Intelligence

Job ID: 3043210 | Evi Technologies Limited

Note: This is a position for a fixed‑term contract. 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.

Key job responsibilities

• Maintain and follow strict confidentiality as customer privacy is our biggest tenet
• Work with a range of different types of data including but not limited to text, speech, image, and video
• Deliver high‑quality labelled data, using guidelines provided to meet our KPIs and using in‑house tools and software
• Assume the role of a subject‑matter expert for Machine Learning (ML) data workflows and demonstrate proficiency in researching, creating factually and grammatically correct responses, ranking responses, and creating grammatically correct text, speech, image, video annotation
• Make logical decisions while performing tasks even when provided information is ambiguous
• Have an eye for detail and the ability to pivot from one category of requirement to another instantaneously
• Support daily operational deliverables like AHT, quality, TAT for multiple task types assigned to you and the team
• Handle end‑to‑end data execution process related to labelling tasks and be less dependent on work instructions
• Contribute to root‑cause analysis, identify error patterns and identify solutions to improve quality of labelling tasks
• Identify day‑to‑day process and operational issues in SOP, tools and suggest changes to unblock operations
• Provide ownership in floor support to clarify internal queries during execution on a 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, to assess and improve Alexa’s performance in everyday situations. Your ability to concentrate, multi‑task and your high attention to detail helps you deliver high‑quality work while maintaining strict confidentiality and following all applicable Amazon policies for securing confidential information. You will be a part of a diverse team with the shared vision to make huge strides in the world of technology and the way we use Artificial Intelligence. An inner drive, individuality, and a creative mind are extremely beneficial.

About the team

The team works strictly in the office Monday through Friday with an eight‑hour shift. We are constantly looking for ways to improve our capabilities and deliver the best product possible. A diverse team, regular meetings, trainings, and Amazon events throughout the year await you.

Basic Qualifications

• An Associate’s Degree or related work experience
• CEFR C1+ or equivalent fluency in German language
• Written and spoken knowledge of English is essential (CEFR C1+)
• Strong business writing skills with ability to create reports, proposals, and professional correspondence
• Advanced reading comprehension with ability to analyze complex business documents
• Developed analytical thinking and structured problem‑solving capabilities
• Strong ability to interpret and implement detailed instructions across various projects
• Proficient research skills with experience gathering and synthesizing information from multiple sources
• Proven attention to detail in managing complex tasks and documents

Preferred Qualifications

• Bachelor’s degree in a relevant field
• Proven experience with demonstrated task execution ability
• Proven capacity to leverage open‑source resources effectively for comprehensive research purposes
• Ability to adapt well to fast‑paced environments with changing circumstances, direction, and strategy
• Proven project coordination or management experience (for support functions teams)
• Experience managing stakeholder relationships across departments
• Advanced proficiency in Microsoft Office Suite and common business applications

Amazon is an equal‑opportunity employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. 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, please visit Amazon accommodations.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.