Data Entry Clerk - Italian Language Part-Time, AGI-Data Services

TN United Kingdom; London; On-site; GBP 20,000 - 25,000; Part time

Job summary

A leading company is seeking a Data Entry Clerk fluent in Italian for a part-time role. The position involves maintaining confidentiality while working with various data types. Candidates should have strong analytical skills and attention to detail. Join a diverse team focused on innovative AI solutions and contribute to enhancing customer experiences.

Qualifications

• Fluency in Italian at CEFR C1 level or equivalent.
• Strong business writing skills for reports and proposals.
• 2+ years of professional experience demonstrating task execution.

Responsibilities

• Deliver high-quality labeled data according to provided guidelines.
• Analyze root causes of errors and suggest improvements.
• Support daily operational tasks for multiple projects.

Skills

Fluency in Italian

Proficiency in English

Analytical thinking

Attention to detail

Education

Associate’s Degree

Bachelor’s degree

Tools

Microsoft Office Suite

Job description

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Data Entry Clerk - Italian Language Part-Time, AGI-Data Services, London

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Client:

Evi Technologies Limited - C67

Location:

London, United Kingdom

Job Category:

Retail

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EU work permit required:

Yes

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Job Reference:

efefbe80c109

Job Views:

3

Posted:

14.05.2025

Expiry Date:

28.06.2025

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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 don’t just think outside the box, but make the box they are in ‘Bigger’. The future is now—do you want to be a part of it? Then read on!

Key job responsibilities

• Maintain and follow strict confidentiality as customer privacy is our most important tenet
• Work with a range of different types of data including, but not limited to: text, speech, audio, image, and video
• Deliver high-quality labelled data, using guidelines provided to meet our KPIs and using in-house tools and software, as part of Amazon's commitment to developing and deploying AI responsibly.
• Demonstrate proficiency in generating high quality human insight data across a range of modalities, inclusive of text, image, video, and audio.
• Capable of making sound judgments and logical decisions when faced with ambiguous or incomplete information while performing tasks.
• Eye for detail and ability to pivot from one category of requirement to another instantaneously.
• Support daily operational deliverables for multiple task types assigned to you and the team.
• Analyze root causes, identify error patterns, and propose solutions to enhance the quality of labeling tasks and outputs.
• Identify day-to-day process and operational issues in Standard Operating Procedures and tools, and suggest changes to unblock operations.
• Provide floor support to clarify internal queries during execution as needed.

A day in the life

We are looking for a ML Data Associate (MLDA) to undertake foundational labeling functions, such as dialogue evaluation on speech, text, audio, and video data.

Your ability to concentrate, multi-task, and your high attention to detail helps you deliver high-quality work while maintaining strict confidentiality and following all applicable Amazon policies for securing confidential information. You will be part of a diverse team with the shared vision of improving customers’ lives with practical, useful generative AI innovations. An inner drive, individuality, and a creative mind are extremely beneficial.

BASIC QUALIFICATIONS

• An Associate’s Degree or related work experience
• CEFR C1 or equivalent fluency in Italian language
• Written and spoken knowledge of English (CEFR C1)
• Strong business writing skills for reports, proposals, and professional correspondence
• Advanced reading comprehension for analyzing complex documents
• Developed analytical thinking and structured problem-solving skills
• Ability to interpret and implement detailed instructions across projects
• Proficient research skills for gathering and synthesizing information
• Proven attention to detail in managing complex tasks and documents

PREFERRED QUALIFICATIONS

• Bachelor’s degree in a relevant field
• 2+ years of professional work experience with demonstrated task execution ability
• Experience leveraging open-source resources for research
• Ability to adapt to fast-paced environments with changing circumstances
• 2-3 years project coordination or management experience (support functions teams)
• Experience managing stakeholder relationships across departments
• Advanced proficiency in Microsoft Office Suite and common business applications