Italian Language Data Specialist

1 tydzień temu

Gdańsk, Pomerania, Polska MyGwork Pełny etat

This role is with Amazon, an inclusive employer and a member of MyGwork – the largest global platform for the LGBTQ+ business community.

Please do not contact the recruiter directly.

Job Responsibilities

As Data Associate, you will work with a range of text and speech data, delivering high-quality labelled data using in-house tools and software.

Key tasks include:

  • Working with various types of data, including text and speech.
  • Delivering high-quality labelled data using provided guidelines and in-house tools.
  • Reporting issues with tools and software as needed.
  • Maintaining confidentiality and adhering to Amazon's policies for securing confidential information.

What We Offer

Join a world-class organization dedicated to making everyday life simpler for millions of people.

Competitive salary and benefits package.

A Day in the Life

You will be part of a diverse team working to improve Alexa's performance in everyday situations through foundational labelling functions, such as dialogue evaluation on speech and text data.

About the Team

Amazon Data Services provides data creation, curation, and analytics services to help develop, test, and train the Alexa AI.

Our team works closely with Amazon Machine Learning Science and modelling teams to provide critical data for improving Alexa's speech recognition and language understanding capabilities.

BASIC QUALIFICATIONS:

  • Fluent Italian language skills.
  • Comfortable working with speech from various dialects and accents of Italian.
  • High School or equivalent diploma.
  • Fluent English language skills.
  • Knowledge of Microsoft Office products.

PREFERRED QUALIFICATIONS:

  • Experience working with speech or language data, including annotation.
  • Practical knowledge of data processing needs and trade-offs.

We are an equal opportunities employer, passionate about diversity and inclusion.

Please consult our Privacy Notice for more information on how we collect, use, and transfer personal data of our candidates.

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