Data Entry Clerk, Alexa Data Services
Data Entry Clerk, Alexa Data Services

Data Entry Clerk, Alexa Data Services

Cambridge Full-Time 24000 - 36000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Join us as a Data Entry Clerk to handle diverse data types and ensure high-quality labelling.
  • Company: Evi Technologies Limited is at the forefront of generative AI, transforming human-technology interaction.
  • Benefits: Enjoy a dynamic work environment with opportunities for growth and innovation in AI.
  • Why this job: Be part of a diverse team dedicated to improving lives through cutting-edge AI solutions.
  • Qualifications: An Associate's Degree or relevant experience, with strong English skills and attention to detail required.
  • Other info: Amazon values diversity and offers equal opportunities for all applicants.

The predicted salary is between 24000 - 36000 £ per year.

Job ID: 2926509 | Evi Technologies Limited – C67

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 those candidates who just don’t think out of 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

  1. Maintain and follow strict confidentiality as customer privacy is our most important tenet.
  2. Work with a range of different types of data including, but not limited to: text, speech, audio, image, and video.
  3. 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.
  4. Demonstrate proficiency in generating high quality human insight data across a range of modalities, inclusive of text, image video and audio.
  5. Capable of making sound judgments and logical decisions when faced with ambiguous or incomplete information while performing tasks.
  6. Eye for detail and ability to pivot from one category of requirement to another instantaneously.
  7. Demonstrate support on daily operational deliverables for multiple task types assigned to you and the team.
  8. Analyze root causes, identify error patterns, and propose solutions to enhance the quality of labeling tasks and their outputs.
  9. Responsible for identifying day-to-day process and operational issues in Standard Operating Procedure, tools and suggest changes to unblock operations.
  10. Demonstrate ownership in floor support to clarify internal queries during execution on need basis.

A day in the life

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

Your ability to concentrate, multi-task and your high attention to detail helps you deliver high-quality work as well as maintaining strict confidentiality and follow all applicable Amazon policies for securing confidential information. You will be a 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

  1. An Associate’s Degree or related work experience.
  2. C1+ or equivalent fluency in English language.
  3. Strong business writing skills with ability to create reports, proposals, and professional correspondence.
  4. Advanced reading comprehension with ability to analyze complex business documents.
  5. Developed analytical thinking and structured problem-solving capabilities.
  6. Strong ability to interpret and implement detailed instructions across various projects.
  7. Proficient research skills with experience gathering and synthesizing information from multiple sources.
  8. Proven attention to detail in managing complex tasks and documents.

PREFERRED QUALIFICATIONS

  1. Bachelor’s degree in a relevant field.
  2. 2+ years of professional work experience with demonstrated task execution ability.
  3. Proven capacity to leverage open-source resources effectively for comprehensive research purposes.
  4. Ability to adapt well to fast-paced environments with changing circumstances, direction, and strategy.
  5. 2-3 years project coordination or management experience (for support functions teams).
  6. Experience managing stakeholder relationships across departments.
  7. Advanced proficiency in Microsoft Office Suite and common business applications.

Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information.

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Data Entry Clerk, Alexa Data Services employer: Amazon

Evi Technologies Limited, part of Amazon, offers an exceptional work environment for Data Entry Clerks, where innovation meets inclusivity. Employees benefit from a diverse culture that fosters personal and professional growth, alongside competitive compensation and comprehensive benefits. Located in a dynamic tech hub, team members are empowered to contribute to groundbreaking AI projects while enjoying a supportive atmosphere that values creativity and collaboration.
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Contact Detail:

Amazon Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Data Entry Clerk, Alexa Data Services

✨Tip Number 1

Familiarise yourself with the types of data you'll be working with, such as text, audio, and video. Understanding these modalities will help you demonstrate your proficiency during interviews and show that you're ready to hit the ground running.

✨Tip Number 2

Brush up on your analytical thinking and problem-solving skills. Be prepared to discuss how you've tackled complex tasks in the past, as this role requires making sound judgments with incomplete information.

✨Tip Number 3

Highlight any experience you have with project coordination or management. This can set you apart, especially since the role involves supporting multiple task types and collaborating with diverse teams.

✨Tip Number 4

Showcase your attention to detail by preparing examples of how you've maintained high-quality work in previous roles. This is crucial for delivering accurate labelled data and meeting KPIs.

We think you need these skills to ace Data Entry Clerk, Alexa Data Services

Attention to Detail
Data Analysis
Confidentiality Management
Proficient Research Skills
Analytical Thinking
Structured Problem-Solving
Multi-tasking Ability
Strong Business Writing Skills
Advanced Reading Comprehension
Ability to Interpret Detailed Instructions
Proficiency in Microsoft Office Suite
Experience with Open-Source Resources
Stakeholder Relationship Management
Adaptability to Fast-Paced Environments
Creative Thinking

Some tips for your application 🫡

Understand the Role: Before applying, make sure to thoroughly read the job description for the Data Entry Clerk position. Understand the key responsibilities and qualifications required, as this will help you tailor your application effectively.

Highlight Relevant Experience: In your CV and cover letter, emphasise any previous experience related to data entry, analysis, or working with various types of data. Use specific examples to demonstrate your skills in attention to detail and problem-solving.

Showcase Your Skills: Make sure to highlight your proficiency in English and any relevant software tools, especially Microsoft Office Suite. Mention your strong business writing skills and ability to create reports, as these are crucial for the role.

Craft a Strong Cover Letter: Write a compelling cover letter that reflects your enthusiasm for the role and the company. Discuss how your background aligns with Amazon's commitment to responsible AI development and your passion for improving customer experiences.

How to prepare for a job interview at Amazon

✨Showcase Your Attention to Detail

As a Data Entry Clerk, attention to detail is crucial. Be prepared to discuss examples from your past experiences where your meticulous nature helped you avoid errors or improve processes.

✨Demonstrate Your Analytical Skills

The role requires strong analytical thinking and problem-solving capabilities. Prepare to answer questions that assess your ability to interpret complex information and make sound judgments based on incomplete data.

✨Familiarise Yourself with AI and Data Types

Since the job involves working with various data types, brush up on your knowledge of text, speech, audio, image, and video data. Being able to discuss these confidently will show your enthusiasm for the role.

✨Prepare for Scenario-Based Questions

Expect scenario-based questions that test your ability to handle ambiguity and adapt to changing circumstances. Think of situations where you successfully navigated challenges and be ready to share those stories.

Data Entry Clerk, Alexa Data Services
Amazon
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  • Data Entry Clerk, Alexa Data Services

    Cambridge
    Full-Time
    24000 - 36000 £ / year (est.)

    Application deadline: 2027-08-04

  • A

    Amazon

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