At a Glance
- Tasks: Join us as a Senior Data Associate, labelling diverse data types to enhance AI technology.
- Company: Amazon is at the forefront of generative AI, transforming human-technology interaction.
- Benefits: Enjoy a dynamic work environment with opportunities for growth and innovation.
- 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; 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 36000 - 60000 £ per year.
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- 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.
- Demonstrate support on 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.
- Responsible for identifying day-to-day process and operational issues in Standard Operating Procedure, tools and suggest changes to unblock operations.
- 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- An Associate’s Degree or related work experience.
- C1+ or equivalent fluency in English language.
- Strong business writing skills with ability to create reports, proposals, and professional correspondence.
- Advanced reading comprehension with ability to analyze complex business documents.
- Developed analytical thinking and structured problem-solving capabilities.
- Strong 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.
- Bachelor’s degree in a relevant field.
- 2+ years of professional work experience with demonstrated task execution ability.
- Proven capacity to leverage open-source resources effectively for comprehensive research purposes.
- Ability to adapt well to fast-paced environments with changing circumstances, direction, and strategy.
- 2-3 years project coordination or management experience (for support functions teams).
- Experience managing stakeholder relationships across departments.
- 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.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, 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 for more information.
Senior Data Associate, Artificial General Intelligence – Data Services employer: Evi Technologies Limited - C67
Contact Detail:
Evi Technologies Limited - C67 Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Associate, Artificial General Intelligence – Data Services
✨Tip Number 1
Familiarise yourself with the latest trends in generative AI and large language models. Understanding the current landscape will not only help you during interviews but also demonstrate your genuine interest in the field.
✨Tip Number 2
Showcase your analytical thinking skills by preparing examples of how you've solved complex problems in previous roles. Be ready to discuss specific situations where you had to make sound judgments with incomplete information.
✨Tip Number 3
Highlight your attention to detail by discussing any past experiences where precision was crucial. This could include projects where you managed complex tasks or ensured high-quality outputs under tight deadlines.
✨Tip Number 4
Prepare to discuss your experience with various data types, such as text, audio, and video. Being able to articulate your familiarity with these modalities will set you apart from other candidates.
We think you need these skills to ace Senior Data Associate, Artificial General Intelligence – Data Services
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and qualifications required for the Senior Data Associate position. Tailor your application to highlight how your skills and experiences align with the job description.
Craft a Strong CV: Your CV should clearly showcase your relevant experience, particularly in data handling and analysis. Emphasise your attention to detail and any experience with AI or machine learning projects, as these are crucial for this role.
Write a Compelling Cover Letter: In your cover letter, express your passion for AI and how you can contribute to Amazon's mission. Use specific examples from your past work that demonstrate your analytical thinking and problem-solving abilities.
Proofread Your Application: Before submitting, thoroughly proofread your application materials. Ensure there are no grammatical errors and that your writing is clear and professional, as strong business writing skills are essential for this position.
How to prepare for a job interview at Evi Technologies Limited - C67
✨Showcase Your Analytical Skills
Prepare to discuss your analytical thinking and structured problem-solving capabilities. Be ready to provide examples of how you've tackled complex tasks or resolved issues in previous roles, especially in data-related contexts.
✨Demonstrate Attention to Detail
Since the role requires a keen eye for detail, come equipped with specific instances where your attention to detail made a significant impact on a project. Highlight any experiences where you successfully managed complex documents or tasks.
✨Familiarise Yourself with AI Concepts
Brush up on generative AI and large language models. Understanding these concepts will not only show your interest in the field but also help you engage in meaningful discussions about the company's vision and your potential contributions.
✨Prepare for Scenario-Based Questions
Expect questions that assess your ability to make sound judgments in ambiguous situations. Think of scenarios from your past work where you had to pivot quickly or make decisions with incomplete information, and be ready to share those experiences.