Senior Data Associate with Portuguese, Artificial General Intelligence

Amazon; Greater London; On-site; GBP 30,000 - 40,000; Full time

Job summary

A global technology company is seeking an ML Data Associate in Greater London. The role involves foundational labeling functions to improve AI performance across various media, including speech and video. Candidates should be fluent in both English and Brazilian Portuguese, have experience with data annotation, and possess strong attention to detail. This role primarily demands working on-site with a diverse team, contributing to operational excellence and data quality.

Qualifications

• Experience in natural language data labeling, data annotation, or similar.
• Proficient in Brazilian Portuguese (C1+) and English (C1+).
• Proven capacity for effective task execution and research.

Responsibilities

• Maintain confidentiality as customer privacy is prioritized.
• Work with various types of data including speech, text, and video.
• Deliver high-quality labeled data per guidelines to meet KPIs.

Skills

Natural language data labeling

Fluent in English

Fluent in Portuguese

Attention to detail

Ability to multi-task

Education

Bachelor's degree in relevant field

Tools

Microsoft Office Suite

Job description

Description

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 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, 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 an 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 improve our capabilities and deliver the best product possible. Diverse team, regular meetings, trainings, and Amazon events throughout the year await you.

Basic 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

Preferred Qualifications

• 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 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 to know more about how we collect, use and transfer the personal data of our candidates.

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. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.