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Jobs at Amazon in United Kingdom

Sr Data Associate with German Part-Time FTC, AGI-Data Services

Amazon

City Of London
On-site
GBP 25,000 - 35,000
30+ days ago
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Data Center Facility Engineer, Data Center Engineering Operations

Amazon

City Of London
On-site
GBP 35,000 - 55,000
30+ days ago

Sr Program Manager, EU Transportation Execution, Global Transportation Services - EU

Amazon

City Of London
On-site
GBP 65,000 - 88,000
30+ days ago

Chief Engineer , Data Centre Engineering Operations - West London , Data Centre Engineering Ope[...]

Amazon

City Of London
On-site
GBP 60,000 - 90,000
30+ days ago

Reliability Maintenance Engineering Technician

Amazon

Birmingham
On-site
GBP 35,000 - 45,000
30+ days ago
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RME Manager, BRS1 RME

Amazon

Bristol
On-site
GBP 50,000 - 70,000
30+ days ago

Warehouse Operative

Amazon

Rochester
On-site
GBP 10,000 - 40,000
30+ days ago

RME Manager

Amazon

Leeds
On-site
GBP 45,000 - 65,000
30+ days ago
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Senior Data Associate
Amazon
City Of London
On-site
GBP 25,000 - 35,000
Part time
30+ days ago

Job summary

A leading tech firm is looking for a Machine Learning Data Associate to support the development of generative AI technologies. Key responsibilities include delivering high-quality labeled data and analyzing various data types. The ideal candidate has an Associate’s degree, fluency in German and English, and strong attention to detail. This is a part-time position with a fixed-term contract based in London.

Qualifications

  • CEFR C1+ or equivalent fluency in German language.
  • Written and spoken knowledge of English is essential (CEFR C1+).
  • Developed analytical thinking and structured problem-solving capabilities.

Responsibilities

  • Maintain confidentiality as customer privacy is critical.
  • Deliver high-quality labelled data using in-house tools.
  • Analyze root causes and propose solutions to enhance labeling quality.

Skills

Fluency in German
Strong business writing skills
Advanced reading comprehension
Attention to detail
Proficient research skills

Education

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

Tools

Microsoft Office Suite
Job description
Overview

Description

Note: This position is for part-time employment with 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.

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!

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
  • 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
  • 2+ years of professional work 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
  • 2-3 years 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 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.

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

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.

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* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.

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