Senior Data Associate with Italian, 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, where you will play a crucial role in the responsible development of AI technologies. This position invites creative thinkers who are adept at managing diverse data types, ensuring high-quality outputs while maintaining confidentiality. You will collaborate with a dynamic team, tackling exciting challenges in the realm of generative AI. Your analytical skills and attention to detail will be essential as you navigate complex tasks and contribute to innovative projects that enhance human-technology interaction. If you're ready to make a meaningful impact, this opportunity is for you.

Qualifications

• CEFR C1+ fluency in Italian and B2+ in English required.
• 2+ years of professional experience preferred.

Responsibilities

• Deliver high-quality labelled data across text, audio, and video.
• Analyze root causes and propose solutions for labeling quality.

Skills

Analytical thinking

Attention to detail

Research skills

Business writing

Education

Associate’s Degree

Bachelor’s degree in a relevant field

Tools

Microsoft Office

Job description

Social network you want to login/join with:

Senior Data Associate with Italian, AGI-Data Services, Cambridge

Client:

Evi Technologies Limited - C67

Location:

Cambridge, United Kingdom

Job Category:

Other

EU work permit required:

Yes

Job Reference:

3a1dc162bc12

Job Views:

12

Posted:

28.04.2025

Expiry Date:

12.06.2025

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 outside the box and make the box bigger. The future is now—do you want to be part of it? Then 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 labelled 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: text, image, video, and audio
• Make sound judgments and decisions with ambiguous or incomplete information during tasks
• Pay close attention to detail and adapt quickly to different requirements
• Support daily operational deliverables for multiple tasks and team collaboration
• Analyze root causes, identify error patterns, and propose solutions to improve labeling quality
• Identify operational issues and suggest process improvements
• Provide floor support to clarify internal queries during task execution

A day in the life

As an ML Data Associate, you will perform foundational labeling functions, including dialogue evaluation on speech, text, audio, and video data. Your focus, multi-tasking ability, and attention to detail will help deliver high-quality work while maintaining confidentiality and adhering to Amazon policies. You will join a diverse team dedicated to enhancing customer lives through generative AI innovations. Creativity, drive, and individuality are highly valued here.

Basic Qualifications

• Associate’s Degree or related work experience
• CEFR C1+ or equivalent fluency in Italian
• Proficient in English (CEFR B2+), both written and spoken
• Strong business writing skills for reports, proposals, and correspondence
• Excellent 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
• 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
• Adaptability in fast-paced, changing environments
• 2-3 years project coordination or management experience
• Experience managing stakeholder relationships
• Proficiency in Microsoft Office and common business applications