Senior Data Associate with French, AGI-Data Services

TN United Kingdom; Cambridge; On-site; GBP 30,000 - 50,000; Full time

Job summary

Join a forward-thinking company as a Senior Data Associate in Cambridge, where you'll engage with cutting-edge AI technologies. This role involves maintaining confidentiality while delivering high-quality labeled data across diverse modalities like text, audio, and video. You'll collaborate with a dynamic team, leveraging your analytical skills and attention to detail to enhance customer experiences through innovative AI solutions. If you're ready to think beyond conventional boundaries and thrive in a fast-paced environment, this opportunity is perfect for you.

Qualifications

• Fluency in French (CEFR C1+) and proficiency in English (CEFR B2+).
• Ability to follow detailed instructions and manage complex tasks.

Responsibilities

• Deliver high-quality labeled data across various data types.
• Analyze root causes and suggest improvements for labeling quality.

Skills

Analytical thinking

Attention to detail

Problem-solving skills

Business writing

Research skills

Education

Associate’s Degree or relevant 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, Cambridge

Client:

Evi Technologies Limited - C67

Location:

Cambridge, United Kingdom

Job Category:

Other

-

EU work permit required:

Yes

Job Reference:

36a8ce7fd36a

Job Views:

11

Posted:

29.04.2025

Expiry Date:

13.06.2025

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 think beyond conventional boundaries and expand the possibilities within their scope. 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, aligning with Amazon's AI development standards.
• Generate high-quality human insight data across modalities such as text, image, video, and audio.
• 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 for multiple assignments within the team.
• Analyze root causes, identify error patterns, and suggest improvements for labeling quality.
• Identify and address operational issues in processes and tools, proposing changes as needed.
• Provide on-floor support to clarify internal queries during task execution.

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 focus, multi-tasking ability, and high attention to detail will help you deliver quality work while maintaining confidentiality and adhering to Amazon policies. Join a diverse team dedicated to enhancing customer lives through innovative generative AI solutions. A proactive attitude, individuality, and creativity are highly valued.

BASIC QUALIFICATIONS

• An Associate’s Degree or relevant work experience
• CEFR C1+ or equivalent fluency in French
• Proficient in English (CEFR B2+), both written and spoken
• Strong business writing skills for reports, proposals, and correspondence
• Advanced comprehension of complex business documents
• Analytical thinking and structured 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 in fast-paced, changing environments
• 2-3 years of project coordination or management experience
• Experience managing stakeholder relationships
• Proficiency in Microsoft Office Suite and common business applications