At a Glance
- Tasks: Label and evaluate data to enhance AI performance, ensuring high-quality outputs.
- Company: Join Amazon, a leader in AI innovation and technology transformation.
- Benefits: Competitive salary, diverse team, training opportunities, and a vibrant workplace culture.
- Other info: Dynamic office environment with regular events and growth opportunities.
- Why this job: Be at the forefront of AI development and make a real impact on technology.
- Qualifications: Fluent in English and Portuguese, with experience in data annotation and project management.
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.
Key job responsibilities
- Maintain and follow strict confidentiality as customer privacy is our biggest tenet.
- Work with a range of different types of data including but not limited to text, speech, image and video.
- Deliver high‑quality labelled data using guidelines provided to meet our KPIs and using in‑house tools and software.
- Assume the role of a subject matter expert for Machine Learning (ML) data workflows and demonstrate proficiency in researching, creating factually and grammatically correct responses, ranking responses, and creating grammatically correct text, speech, image, video annotation.
- Ability to make logical decisions while performing tasks even when provided information is ambiguous.
- Eye for detail and ability to pivot from one category of requirement to another instantaneously.
- Demonstrate support for daily operational deliverables like AHT quality TAT for multiple task types assigned to you and the team.
- Demonstrate expertise in handling end‑to‑end data execution process related to labelling the tasks and be less dependent on work instructions.
- Contribute to root cause analysis, identify error patterns and identify solutions to improve quality of labelling tasks.
- Responsible for identifying day‑to‑day process and operational issues in SOP 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 to assess and improve Alexa’s performance in everyday situations. 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 to make huge strides in the world of technology and the way we use Artificial Intelligence. An inner drive, individuality and a creative mind are extremely beneficial.
About the team
The team works strictly in the office Monday through Friday with an eight‑hour shift. We are constantly looking for ways to enhance our capabilities and deliver the best product possible. A diverse team, regular trainings and Amazon events throughout the year await you.
Qualifications
- Experience in natural language data labeling, data annotation, linguistic annotation or other forms of data markup.
- Speak, write and read fluently in English.
- Speak, write and read fluently in Portuguese (C1 or equivalent proficiency in Brazilian Portuguese).
- C1 or equivalent proficiency in English.
- Bachelor’s degree in a relevant field or equivalent work experience.
- Proven 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.
- Proven 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‑opportunity 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 to know more about how we collect, use and transfer the personal data of our candidates. 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 with Portuguese, Artificial General Intelligence employer: AI
Amazon is an exceptional employer, offering a dynamic work environment where innovation and diversity thrive. As a Senior Data Associate, you will be part of a collaborative team dedicated to advancing artificial intelligence, with ample opportunities for professional growth through regular training and events. Located in a vibrant office setting, Amazon prioritises employee well-being and fosters a culture of inclusivity, making it an ideal place for those seeking meaningful and rewarding careers.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Associate with Portuguese, Artificial General Intelligence
✨Tip Number 1
Network like a pro! Reach out to current employees at Amazon or in the AI field on LinkedIn. A friendly chat can give us insider info and maybe even a referral!
✨Tip Number 2
Prepare for the interview by brushing up on your knowledge of AI and data annotation. We should be ready to discuss how our skills align with the role and share examples of our past work.
✨Tip Number 3
Show off our passion for AI! During interviews, let’s express our excitement about working with cutting-edge technology and how we can contribute to Amazon's mission.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure our application gets seen by the right people. Plus, it shows we’re serious about joining the team!
We think you need these skills to ace Senior Data Associate with Portuguese, Artificial General Intelligence
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter to highlight your experience in data annotation and your proficiency in both English and Portuguese. We want to see how your skills align with the role, so don’t hold back!
Showcase Your Attention to Detail:Since this role requires a keen eye for detail, include examples in your application that demonstrate your ability to deliver high-quality work. We love seeing candidates who can pivot between tasks seamlessly!
Highlight Your Experience:If you've got experience in natural language data labelling or any relevant field, make sure to shout about it! We’re looking for folks who can hit the ground running, so let us know what you’ve done.
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to keep track of your application and ensure it gets the attention it deserves. We can’t wait to hear from you!
How to prepare for a job interview at AI
✨Know Your Data Inside Out
Make sure you brush up on your knowledge of data types, especially in natural language processing. Familiarise yourself with the specifics of text, speech, image, and video data, as you'll likely be asked about your experience with these during the interview.
✨Showcase Your Attention to Detail
Prepare examples that highlight your eye for detail. You might be asked how you've handled ambiguous information or made logical decisions in past roles, so think of situations where your meticulousness led to successful outcomes.
✨Demonstrate Your Language Skills
Since fluency in both English and Portuguese is crucial, practice speaking and writing in both languages. Be ready to discuss your experiences using these languages in a professional context, especially related to data annotation or linguistic tasks.
✨Emphasise Your Adaptability
The role requires adapting to fast-paced environments, so prepare to discuss times when you've successfully navigated changes in direction or strategy. Highlight your ability to pivot quickly and manage multiple tasks effectively.