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

TN United Kingdom; London; On-site; GBP 20,000 - 30,000; Part time

Job summary

A leading company in AI technology is seeking a part-time Data Entry Clerk in London. The role involves maintaining confidentiality, working with diverse data types, and delivering high-quality insights. Ideal candidates possess strong analytical skills and attention to detail, and are fluent in English. Join a dynamic team committed to responsible AI development.

Qualifications

• CEFR C1+ or equivalent fluency in English.
• 2+ years of professional work experience preferred.

Responsibilities

• Deliver high-quality labelled data using in-house tools.
• Analyze root causes and propose solutions for quality enhancement.
• Support daily operational deliverables for multiple task types.

Skills

Attention to Detail

Analytical Thinking

Problem Solving

Research Skills

Business Writing

Education

Associate's Degree

Bachelor's Degree

Tools

Microsoft Office Suite

Job description

Social network you want to login/join with:

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

Client:

Evi Technologies Limited - C67

Location:

London, United Kingdom

Job Category:

Retail

-

EU work permit required:

Yes

Job Reference:

14170f25f8c9

Job Views:

2

Posted:

14.05.2025

Expiry Date:

28.06.2025

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 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 their 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 an 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 will help 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 highly beneficial.

BASIC QUALIFICATIONS

• An Associate’s Degree or related work experience
• CEFR C1+ or equivalent fluency in English
• Strong business writing skills with the ability to create reports, proposals, and professional correspondence
• Advanced reading comprehension to analyze complex business documents
• Developed analytical thinking and structured problem-solving skills
• Ability to interpret and implement detailed instructions across various projects
• Proficient research skills with experience gathering and synthesizing information from multiple sources
• 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 effectively for research
• Ability to adapt well to fast-paced environments with changing circumstances, strategies, and directions
• 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