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Data Annotation Specialist (English and French) - Remote

Posted Yesterday
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Part Time
Canada

Overview

We are seeking a passionate and detailed-oriented Data Annotation Specialist to support the evaluation and labeling of images, search queries and other forms of data for a large enterprise client.

In Short

  • Fully Remote position within Canada (excluding Quebec)
  • Part Time role (20 hours per week)
  • Support evaluation and labeling of various data types
  • Strong critical thinking and written skills required
  • Past data annotation experience preferred but not required
  • Ability to identify and label subtle patterns
  • Comfortable using annotation tools
  • Ability to meet productivity targets
  • Collaboration with team leads and developers
  • Bachelor’s degree in humanities specialization required

Requirements

  • Attention to Detail
  • Basic Technical Literacy
  • Consistency and Accuracy
  • Critical Thinking
  • Communication Skills
  • Time Management
  • Experience with Annotation Tools is a plus
  • Understanding of Machine Learning Concepts is a plus
  • Quality Assurance Experience is a plus
  • Adaptability to Evolving Guidelines is a plus

Benefits

  • Equal opportunity employer
  • Values diversity and inclusion
  • Support for applicants with disabilities
  • Commitment to creating an inclusive environment

Innodata

Innodata

Innodata is a leading data engineering company, publicly traded on NASDAQ (INOD), with a global presence in 13 cities and over 3,000 employees. The company serves more than 2,000 clients, including 4 out of 5 of the world's largest technology firms, as well as major players in financial services, insurance, law, and medicine. By leveraging advanced machine learning and artificial intelligence technologies, Innodata is committed to delivering optimized digital data solutions across various industries. The company is currently focused on the next generation of Large Language Models, seeking innovative Language Specialists to enhance AI capabilities and contribute to the evolution of generative AI.

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