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

TN United Kingdom; London; On-site; GBP 25,000 - 45,000; Part time

Job summary

Join a forward-thinking company as a Sr Data Associate, where you'll play a pivotal role in the development of generative AI solutions. This part-time position requires a keen eye for detail and a passion for innovative technology. You'll work with diverse data types, ensuring high-quality labeling while maintaining strict confidentiality. If you're looking to enhance your skills in a dynamic environment and contribute to groundbreaking AI projects, this opportunity is perfect for you. Bring your creativity and analytical mindset to a team that values individuality and initiative.

Qualifications

• CEFR C1 fluency in Italian and English required.
• Strong analytical and problem-solving skills are essential.

Responsibilities

• Deliver high-quality labeled data across various data types.
• Analyze root causes and propose solutions to improve quality.

Skills

Analytical thinking

Attention to detail

Research skills

Business writing

Problem-solving

Fluency in Italian

Proficiency in English

Education

Associate’s Degree

Bachelor’s degree in a relevant field

Tools

Microsoft Office

Job description

Social network you want to login/join with:

Sr Data Associate with Italian 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:

e1ccbe9a4e35

Job Views:

3

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 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 as customer privacy is our most important tenet.
• 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, as part of Amazon's commitment to responsible AI development.
• Demonstrate proficiency in generating high-quality human insight data across modalities such as text, image, video, and audio.
• Make sound judgments and logical decisions with ambiguous or incomplete information during tasks.
• Maintain attention to detail and adapt quickly to changing requirements.
• Support daily operational deliverables for multiple task types.
• Analyze root causes, identify error patterns, and propose solutions to improve labeling quality.
• Identify operational issues and suggest improvements to SOPs and tools.
• Provide floor support and clarify internal queries as needed.

A day in the life

As a ML Data Associate (MLDA), you will perform foundational labeling tasks such as dialogue evaluation across speech, text, audio, and video data. Your concentration, multitasking ability, and high attention to detail will help you deliver 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

• An Associate’s Degree or related work experience.
• CEFR C1 or equivalent fluency in Italian.
• Proficiency in English (CEFR C1), both written and spoken.
• Strong business writing skills for reports, proposals, and correspondence.
• Advanced reading comprehension and ability to analyze complex documents.
• Analytical thinking and structured problem-solving skills.
• Ability to interpret and 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 with demonstrated task execution.
• Experience leveraging open-source resources for research.
• Ability to adapt to fast-paced, changing environments.
• 2-3 years of project coordination or management experience.
• Experience managing stakeholder relationships.
• Proficiency in Microsoft Office and business applications.