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 diverse work environment, opportunities for growth, and a commitment to innovation.
- Why this job: Be part of a 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: We value diversity and offer 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.
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.
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 various types of data mentioned in the job description, such as text, speech, audio, image, and video. Understanding how to work with these data types will give you a significant edge during interviews.
✨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 instances where you identified issues and proposed effective solutions.
✨Tip Number 3
Highlight your attention to detail by discussing any relevant experiences where precision was crucial. This could include tasks that required strict adherence to guidelines or quality control measures.
✨Tip Number 4
Demonstrate your ability to adapt to fast-paced environments by sharing stories from your past work experiences. Emphasise how you successfully managed changing priorities and maintained productivity under pressure.
We think you need these skills to ace Senior Data Associate, Artificial General Intelligence - Data Services
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience and skills that align with the job description. Emphasise your analytical thinking, attention to detail, and any experience with data handling or AI technologies.
Craft a Strong Cover Letter: Write a cover letter that showcases your passion for AI and your understanding of its impact on society. Mention specific examples of how you've demonstrated the ability to work with various types of data and your problem-solving skills.
Showcase Relevant Skills: In your application, clearly outline your proficiency in English, business writing skills, and any experience with Microsoft Office Suite. Highlight your ability to adapt to fast-paced environments and manage complex tasks.
Follow Application Instructions: Carefully read the application instructions provided by Amazon. Ensure you submit all required documents and adhere to any specified formats or guidelines to avoid disqualification.
How to prepare for a job interview at Evi Technologies Limited - C67
✨Showcase Your Analytical Skills
Be prepared to discuss your analytical thinking and structured problem-solving capabilities. You might be asked to analyse complex scenarios or data sets, so practice explaining your thought process clearly and logically.
✨Demonstrate Attention to Detail
Since the role requires a high level of detail orientation, be ready to provide examples from your past experiences where your attention to detail made a significant impact on the outcome of a project or task.
✨Familiarise Yourself with AI Concepts
Brush up on your knowledge of generative AI and large language models. Understanding these concepts will not only help you answer technical questions but also show your enthusiasm for the field and the company's mission.
✨Prepare for Scenario-Based Questions
Expect questions that assess how you handle ambiguity and make decisions with incomplete information. Think of past experiences where you had to pivot quickly or resolve issues under pressure, and be ready to share those stories.