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

TN United Kingdom

London

On-site

GBP 30,000 - 50,000

Part time

2 days ago
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Job summary

Join a forward-thinking company as a Sr Data Associate, where you'll play a crucial role in the evolving landscape of generative AI. This part-time position offers the chance to work with diverse data types while ensuring confidentiality and high-quality standards. Your analytical skills and attention to detail will be key as you support operational tasks and improve processes. Collaborate with a dynamic team dedicated to making a difference in technology and customer experience. If you're ready to embrace creativity and drive in a fast-paced environment, this opportunity is perfect for you.

Qualifications

  • Associate’s Degree or equivalent experience required.
  • Strong fluency in German and English is essential.

Responsibilities

  • Deliver high-quality labeled data using provided guidelines.
  • Analyze errors and propose solutions to improve labeling quality.

Skills

German Fluency (CEFR C1+)
English Fluency (CEFR C1)
Analytical Skills
Attention to Detail
Research Skills
Business Writing Skills

Education

Associate’s Degree
Bachelor’s Degree (Preferred)

Tools

Microsoft Office

Job description

Social network you want to login/join with:

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

Client:

Evi Technologies Limited - C67

Location:

London, United Kingdom

Job Category:

Other

EU work permit required:

Yes

Job Reference:

5f9138fe3f0c

Job Views:

2

Posted:

07.05.2025

Expiry Date:

21.06.2025

Job Description:

Note: This position is for part-time employment and a 12-month 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 candidates who think outside the box and make the box bigger. The future is now—do you want to be part of it? Read on!

Key job responsibilities
  • Maintain and follow strict confidentiality to protect customer privacy.
  • Work with various data types including text, speech, audio, image, and video.
  • Deliver high-quality labeled data using provided guidelines and in-house tools, meeting KPIs.
  • Generate high-quality human insight data across modalities like text, image, video, and audio.
  • Make sound judgments and logical decisions with ambiguous or incomplete information.
  • Pay attention to detail and adapt quickly to different requirements.
  • Support daily operational tasks and team deliverables.
  • Analyze errors, identify patterns, and propose solutions to improve labeling quality.
  • Identify operational issues and suggest improvements to processes and tools.
  • Provide support during task execution and clarify internal queries as needed.
A day in the life

We seek a ML Data Associate (MLDA) to perform foundational labeling tasks, such as dialogue evaluation on speech, text, audio, and video data.

Your concentration, multi-tasking ability, and attention to detail will help you deliver high-quality work while maintaining confidentiality and adhering to Amazon policies. You will join a diverse team aimed at improving customers’ lives with generative AI innovations. Creativity, drive, and individuality are highly valued.

Basic Qualifications
  • Associate’s Degree or related work experience
  • CEFR C1+ or equivalent fluency in German
  • Written and spoken English (CEFR C1)
  • Strong business writing skills
  • Advanced reading comprehension and analytical skills
  • Ability to follow detailed instructions across projects
  • Research skills for gathering and synthesizing information
  • Attention to detail in managing complex tasks
Preferred Qualifications
  • Bachelor’s degree in a relevant field
  • 2+ years of professional experience
  • Experience with open-source research resources
  • Ability to adapt in fast-paced environments
  • 2-3 years project coordination or management experience
  • Experience managing stakeholder relationships
  • Proficiency in Microsoft Office and business applications
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