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Senior Data Associate with Portuguese, Artificial General Intelligence

Evi Technologies Limited

Greater London

On-site

GBP 30,000 - 40,000

Full time

Yesterday
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Job summary

An innovative technology company is seeking a ML Data Associate in Greater London. The successful candidate will focus on labeling tasks involving speech, text, audio, and video data to enhance performance. Key qualifications include experience in data annotation and fluency in both English and Brazilian Portuguese at C1 level. This is an office-based role with a diverse team working towards advancing AI capabilities. Candidates should demonstrate attention to detail and strong decision-making abilities.

Qualifications

  • Experience in natural language data labeling, data annotation, or other forms of data markup.
  • Fluent in English and Portuguese at C1+ level.
  • Proven ability to adapt to fast-paced environments.

Responsibilities

  • Maintain confidentiality while working with various types of data.
  • Deliver high-quality labeled data using in-house tools.
  • Contribute to root cause analysis and improve quality of labeling tasks.

Skills

Natural language data labeling
Data annotation
Fluency in English
Fluency in Portuguese
Attention to detail

Education

Bachelor's degree in a relevant field

Tools

Microsoft Office Suite
Job 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 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 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.
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