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

Amazon; London; On-site; GBP 20,000 - 30,000; Part time

Job summary

Join a leading company as a Data Entry Clerk (Part-Time) focused on delivering high-quality labeled data to support AI development. This role involves working with various data types and requires strong analytical skills and attention to detail. You will be part of a diverse team committed to innovative generative AI solutions, ensuring confidentiality while adapting to changing requirements. If you are proactive and detail-oriented, this opportunity is for you!

Qualifications

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

Responsibilities

• Maintain confidentiality and deliver high-quality labeled data.
• Analyze root causes and suggest improvements.
• Support daily operational tasks for multiple projects.

Skills

Analytical thinking

Attention to detail

Research skills

Problem-solving

Business writing

Education

Associate’s Degree

Bachelor’s degree

Tools

Microsoft Office Suite

Job description

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

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 are willing to expand their horizons. 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, supporting Amazon's AI development efforts.
• 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 projects and teams.
• Analyze root causes, identify error patterns, and suggest improvements to enhance data quality.
• Identify operational issues in processes and tools, recommending changes to improve workflows.
• Provide on-floor support to clarify internal queries during task execution.

A day in the life

As a Machine Learning Data Associate (MLDA), your tasks will include foundational labeling functions such as dialogue evaluation across speech, text, audio, and video data. Your focus, concentration, and attention to detail will help you deliver high-quality work while maintaining confidentiality and adhering to Amazon policies. You will be part of a diverse team committed to improving customer lives through innovative generative AI solutions. Creativity, initiative, and a proactive mindset are highly valued.

Basic Qualifications

• Associate’s Degree or relevant work experience
• CEFR C1+ or equivalent fluency in English
• Strong business writing skills for reports, proposals, and professional communication
• Excellent reading comprehension and ability to analyze complex documents
• Analytical thinking and structured problem-solving skills
• Ability to follow detailed instructions across various projects
• Research skills to gather and synthesize information from multiple sources
• High attention to detail managing complex tasks and documents

Preferred Qualifications

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

Amazon is an equal opportunity employer committed to diversity and inclusion. We prioritize your privacy and data security. For accommodations during the application process, visit this link.