Senior Data Associate with French, AGI-Data Services

TN United Kingdom; London; On-site; GBP 35,000 - 55,000; Full time

Job summary

An innovative firm is seeking a Senior Data Associate to join their dynamic team in London. This role focuses on foundational labeling functions for AI, requiring a keen eye for detail and the ability to handle various data types. Ideal candidates will possess fluency in French and English, alongside strong analytical and business writing skills. You will contribute to improving customer experiences through responsible AI innovations, collaborating with a diverse team to tackle complex challenges. If you thrive in fast-paced environments and are passionate about making a difference, this opportunity is perfect for you.

Qualifications

• Fluency in French and English (CEFR C1+).
• Strong analytical and problem-solving skills.

Responsibilities

• Deliver high-quality labeled data across various modalities.
• Analyze root causes and propose solutions to enhance task quality.

Skills

French Language Fluency (CEFR C1+)

Analytical Thinking

Attention to Detail

Business Writing Skills

Problem-Solving

Education

Associate’s Degree or Related Work Experience

Bachelor’s Degree in a Relevant Field

Tools

Microsoft Office Suite

Job description

Social network you want to login/join with:

Senior Data Associate with French, AGI-Data Services, London

Client:

Evi Technologies Limited - C67

Location:

London, United Kingdom

Job Category:

Other

-

EU work permit required:

Yes

Job Reference:

c6ee9af88834

Job Views:

3

Posted:

08.05.2025

Expiry Date:

22.06.2025

Job Description:

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 not only think outside the box but also expand the box itself. The future is now—are you ready 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, supporting AI development responsibly.
• 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.
• Show attention to detail and flexibility to switch between different requirement categories quickly.
• Support daily operational deliverables for multiple tasks within the team.
• Analyze root causes, identify error patterns, and suggest solutions to improve labeling quality.
• Identify operational issues and suggest procedural or tool improvements.
• Provide floor support to 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 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 committed to enhancing customers’ lives through innovative generative AI solutions. Creativity, initiative, and individuality are highly valued here.

Basic Qualifications

• Associate’s Degree or equivalent work experience
• CEFR C1+ or higher fluency in French
• Proficiency in English (CEFR C1+), both written and spoken
• Strong business writing skills for reports and professional communication
• Advanced reading comprehension and analytical skills
• Ability to interpret and implement detailed instructions
• Research skills with experience synthesizing information from multiple sources
• Attention to detail in managing complex tasks

Preferred Qualifications

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