📍
London, UK

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

1 year experience
Technology & Digital
Data / Analytics
Posted:
December 29, 2025

Amazon

Consumer goods marketplace and technology platform
76.7
Palpable Score
Apply >view company >

Description

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



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, creating grammatically correct text, speech, image, video annotation.
- Ability to make logical decisions while performing tasks even when provided information is ambiguous.
- Eye for detail and ability to pivot from one category of requirement to another instantaneously.
- Demonstrate support for daily operational deliverables like AHT, quality, TAT for multiple task types assigned to you and the team
- Demonstrate expertise in handling end to end data execution process related to labelling the 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
- Responsible for identifying day-to-day process and operational issues in SOP, 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, 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 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 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.


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.

About the company

Amazon

Company overview
Amazon runs a wide set of consumer and enterprise businesses, including online retail, Prime Video and other subscription services, advertising, devices, and Amazon Web Services (AWS). Amazon also builds large-scale software and infrastructure for logistics, payments, and cloud computing, and hires across engineering, product, operations, corporate functions, and frontline roles. Amazon’s early-career hiring spans both office-based teams and operational sites, which means “entry-level” can look very different depending on the org.

Locations and presence

Amazon has major corporate hubs in Seattle and Arlington (HQ2) plus large engineering and operations sites across North America, EMEA, and Asia-Pacific. For many corporate roles, Amazon’s stated expectation has shifted to five days per week in-office for office-based employees (with exceptions depending on role and site).

Palpable Score

76.7
/ 100
Amazon is one of the most accessible early-career employers at scale, with recurring internships and graduate hiring across many disciplines and geographies. Amazon also provides unusually clear public information about interview mechanics and publishes pay ranges on a large share of roles, which supports informed decision-making. The biggest drag on outcomes is the combination of high-performance culture signals and recent corporate job cuts, which adds risk for early-career stability depending on team and org.
view full company profile >

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