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Data Annotation Specialist - English - Remote

Posted 2 days ago
All others
Part Time
USA

Overview

We are seeking a passionate and detail-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 the U.S. (excluding certain states).
  • Part-time employment (20 hours per week).
  • Support evaluation and labeling of various data types.
  • Strong critical thinking and written skills required.
  • Attention to detail is essential.
  • Basic technical literacy is necessary.
  • Consistency and accuracy in work are crucial.
  • Communication skills for reporting issues are important.
  • Time management to meet productivity targets.
  • A Bachelor’s degree in a humanities specialization is required.

Requirements

  • Experience with annotation tools is a bonus.
  • Basic understanding of machine learning concepts.
  • Quality assurance experience is a plus.
  • Ability to adapt to evolving guidelines.
  • Proficiency with team collaboration tools.
  • Problem-solving mindset is beneficial.

Benefits

  • Equal opportunity employer.
  • Diversity and inclusion commitment.
  • Assistance for applicants with disabilities.
  • Work in a flexible remote 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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