Data QA Specialists (Multiple Languages)

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profile Job Location:

London - UK

profile Monthly Salary: Not Disclosed
Posted on: Yesterday
Vacancies: 1 Vacancy

Job Summary

We are looking to expand our pool of external QA Specialists to support Data and transcription projects across multiple languages.


These do not need to be native languages; however candidates must haveat least an intermediate level to effectively work on transcription-related tasks.


Remote: Work from anywhere.


Languages of interest:

  • Turkish (TR)
  • Simplified Chinese (ZH-CN)
  • Dutch
  • English
  • French
  • Portuguese
  • Polish
  • Romanian
  • Italian
  • Spanish
  • German


*Our highest current demand is for linguists with Turkish (TR) and Simplified Chinese (ZH-CN)


Requirements:

  • Availability of at least 6 hours per day
  • Ability to start as soon as possible
  • Mandatory experience in QA for localization projects
    (previous Data QA experience is a strong plus but not required)
  • Strong attention to detail and ability to follow detailed guidelines
  • Ability to work independently while collaborating closely with internal QA specialists and Quality Leads


We are looking for experienced linguists who are ready to become a long-term part of our teams. We offer full onboarding support clear communication andlong-term collaboration opportunities.


If you are interested please apply and indicate:

  • Your relevant QA experience
  • Your language skills
  • Your availability

Required Experience:

IC

We are looking to expand our pool of external QA Specialists to support Data and transcription projects across multiple languages.These do not need to be native languages; however candidates must haveat least an intermediate level to effectively work on transcription-related tasks.Remote: Work from ...
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Key Skills

  • Change Management
  • Corporate Communications
  • Apache Commons
  • Compensation
  • Civil Quality Control

About Company

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Summa Linguae Technologies builds technology-enabled solutions to help global, content-rich companies with any multilingual data challenge.

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