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

TN United Kingdom; London; On-site; GBP 25,000 - 35,000; Part time

Job summary

Join a forward-thinking company as a Sr Data Associate, where you will play a crucial role in the development of generative AI solutions. This part-time position values creativity and attention to detail, allowing you to work with diverse data types, from text to video. You will be part of a dynamic team dedicated to enhancing customer experiences through innovative technology. If you are fluent in German and English, possess strong analytical skills, and thrive in a fast-paced environment, this opportunity is perfect for you. Embrace the future of human-technology interaction with us!

Qualifications

• Fluency in German (CEFR C1) and English (CEFR C1) required.
• Strong business writing skills and attention to detail are essential.

Responsibilities

• Deliver high-quality labeled data for AI projects.
• Analyze root causes and propose solutions to improve labeling quality.

Skills

Analytical Skills

Problem-Solving

Attention to Detail

Business Writing

Research 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, AGI-Data Services, London

Client:

Evi Technologies Limited - C67

Location:

London, United Kingdom

Job Category:

Other

-

EU work permit required:

Yes

Job Reference:

62525862d72b

Job Views:

4

Posted:

02.05.2025

Expiry Date:

16.06.2025

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 outside the box and expand it. The future is now; do you want to be part of it? Read on!

Key job responsibilities

• Maintain and follow strict confidentiality as customer privacy is our top priority
• Work with various data types including text, speech, audio, image, and video
• Deliver high-quality labeled data using provided guidelines to meet KPIs, utilizing in-house tools and software, as part of Amazon's responsible AI development
• Generate high-quality human insight data across modalities such as text, image, video, and audio
• Make sound judgments and decisions when faced with ambiguous or incomplete information
• Pay close attention to detail and adapt quickly to changing requirements
• Support daily operational tasks for multiple assignments
• Analyze root causes, identify error patterns, and propose solutions to improve labeling quality
• Identify operational issues and suggest procedural or tool improvements
• Provide floor support to clarify internal queries as needed

A day in the life

As an ML Data Associate, you will perform foundational labeling tasks such as dialogue evaluation across speech, text, audio, and video data.

Your focus, 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 dedicated to enhancing customer lives through innovative generative AI solutions. Creativity, initiative, and individuality are highly valued.

Basic Qualifications

• Associate’s Degree or relevant work experience
• Fluency in German at CEFR C1 level or equivalent
• Proficiency in English (CEFR C1)
• Strong business writing skills for reports, proposals, and correspondence
• Advanced comprehension of complex business documents
• Analytical and problem-solving skills
• Ability to follow detailed instructions across projects
• Research skills for synthesizing information from multiple sources
• Attention to detail in managing complex tasks and documents

Preferred Qualifications

• Bachelor’s degree in a relevant field
• 2+ years of professional experience with demonstrated task execution
• Experience leveraging open-source resources for research
• Ability to adapt to fast-paced, changing environments
• 2-3 years project coordination or management experience
• Experience managing stakeholder relationships
• Proficiency in Microsoft Office and common business applications