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English Language Data Annotator - Remote

Posted 1 week ago
All others
Full Time
Canada

Overview

An exciting opportunity to work as a Language Data Annotator, improving Artificial Intelligence technology by analyzing and labeling data in English.

In Short

  • Full-time position (40 hours/week), Monday – Friday
  • Remote work available for candidates in Alberta, British Columbia, or Quebec
  • Engagement model: Employment; fixed term/temporary until September 2025
  • No prior experience required; training provided
  • Analyze data and identify issues to enhance AI capabilities
  • Must meet daily quality standards and KPIs
  • Requires excellent English listening, writing, and spelling skills
  • Detail-oriented with strong communication and problem-solving skills
  • Minimum bachelor's degree or equivalent experience required
  • Access to a computer and headset necessary

Requirements

  • Eligible to work in Canada
  • Excellent listening and communication skills in English
  • Detail-oriented and capable of handling repetitive tasks
  • Good time management skills
  • Legal age (18+)
  • Located in Alberta, British Columbia, or Quebec
  • Flexibility and ability to adapt to changing priorities
  • Ability to track, analyze, and report issues
  • Meet daily Key Performance Indexes (KPIs)
  • Complete tasks assigned by the manager/supervisor

Benefits

  • Training provided for all necessary skills
  • Opportunity to work on innovative AI projects
  • Part of a large, reputable company with global presence
  • Equal opportunity employer committed to a harassment-free workplace
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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