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Data Entry Clerk - German Language Part-Time, AGI-Data Services

TN United Kingdom

London

On-site

GBP 20,000 - 30,000

Part time

4 days ago
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Job summary

An established industry player is seeking a detail-oriented Data Entry Clerk fluent in German to join their London team. This part-time role involves working with diverse data types, ensuring high-quality labeling, and supporting operational tasks. Candidates should possess strong analytical skills and the ability to adapt to changing requirements. If you thrive in a dynamic environment and are eager to contribute to innovative AI solutions, this position offers an exciting opportunity to be part of a transformative journey in technology.

Qualifications

  • CEFR C1 fluency in German and B2 in English required.
  • Strong analytical and problem-solving skills needed.

Responsibilities

  • Deliver high-quality labeled data using provided guidelines.
  • Analyze root causes and suggest improvements.
  • Maintain confidentiality and support daily operational tasks.

Skills

German Language Proficiency (CEFR C1)
English Proficiency (CEFR B2)
Analytical Thinking
Attention to Detail
Research Skills

Education

Associate's Degree
Bachelor's Degree (Preferred)

Tools

Microsoft Office

Job description

Social network you want to login/join with:

Data Entry Clerk - German Language Part-Time, AGI-Data Services, London

Client:

Evi Technologies Limited - C67

Location:

London, United Kingdom

Job Category:

Retail

EU work permit required:

Yes

Job Reference:

6d928f2a72da

Job Views:

3

Posted:

10.05.2025

Expiry Date:

24.06.2025

Job Description:

Note: This position is for part-time employment.

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 candidates who think innovatively and are eager to contribute to the future of AI. If you want to be part of this exciting journey, read on!

Key job responsibilities
  • Maintain and follow strict confidentiality as customer privacy is our top priority
  • Work with various types of data including text, speech, audio, image, and video
  • Deliver high-quality labeled data using provided guidelines, meeting KPIs with in-house tools and software
  • Generate high-quality human insight data across multiple modalities
  • Make sound judgments and logical decisions when faced with ambiguous or incomplete information
  • Pay close attention to detail and adapt quickly to changing requirements
  • Support daily operational tasks and team deliverables
  • Analyze root causes, identify error patterns, and suggest improvements
  • Identify operational issues and propose procedural or tool changes
  • Provide floor support and clarify internal queries during task execution
A day in the life

As a ML Data Associate (MLDA), you will perform foundational labeling functions such as dialogue evaluation on speech, text, audio, and video data. Your focus on detail, concentration, and confidentiality will help deliver high-quality work aligned with Amazon’s standards. You will join a diverse team dedicated to improving customer experiences through innovative generative AI solutions. Creativity, initiative, and a proactive mindset are highly valued.

BASIC QUALIFICATIONS
  • Associate’s Degree or related work experience
  • CEFR C1 or equivalent fluency in German
  • English proficiency (CEFR B2), both written and spoken
  • Strong business writing skills for reports, proposals, and correspondence
  • Advanced reading comprehension and ability to analyze complex documents
  • Analytical thinking and structured problem-solving skills
  • Ability to interpret and follow detailed instructions
  • Research skills for gathering and synthesizing information
  • High attention to detail in managing complex tasks
PREFERRED QUALIFICATIONS
  • Bachelor’s degree in a relevant field
  • 2+ years of professional experience with demonstrated task execution
  • Experience with open-source resources for research
  • Ability to adapt to fast-paced, changing environments
  • 2-3 years project coordination or management experience
  • Stakeholder relationship management skills
  • Proficiency in Microsoft Office and common business applications
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