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English Linguist - Remote

Posted 4 days ago
Writing
Full Time
USA
$23.00 USD/hour

Overview

DataForce by TransPerfect is seeking a Linguist with idiomatic fluency in US English to join our team in the United States! This is an exciting opportunity to be part of an innovative project!

In Short

  • Work remotely within the United States.
  • Full-time temporary employment (40 hours weekly).
  • Requires idiomatic fluency in US English.
  • Degree in linguistics or related field preferred.
  • Experience in data analysis and audio annotation is a plus.
  • Focus on enhancing AI-driven speech recognition technology.
  • Ability to work independently and meet deadlines.
  • Exceptional attention to detail is required.
  • Opportunity to work on innovative language technology projects.
  • Start date in April 2025, ending in June 2025.

Requirements

  • Idiomatic fluency in US English.
  • Degree in linguistics or related field (phonetics, phonology, etc.).
  • Preferred expertise in phonetics/phonology.
  • Experience in speech/text-to-speech technology.
  • Familiarity with online annotation tools.
  • Ability to work independently and meet deadlines.
  • Exceptional attention to detail.
  • Availability to work 40 hours per week.
  • Interest in language technologies.

Benefits

  • Work from home flexibility.
  • Opportunity to contribute to AI technology.
  • Engagement in a dynamic and innovative work environment.
  • Part of a global company with extensive resources.
  • Professional development opportunities.
TransPerfect logo

TransPerfect

TransPerfect is the world’s largest provider of language and technology solutions for global business, with a presence in over 100 cities worldwide. The company offers high-quality data for Human-Machine Interaction, catering to some of the most prestigious technology companies. Their DataForce division specializes in gathering, enriching, and processing data for Machine Learning across various AI domains, ensuring the development of advanced machine learning systems such as neural networks and generative models.

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