Data Annotator

Innodata (NASDAQ: INOD) is a leading data engineering company. With more than 2,000 customers and operations in 13 cities around the world, we are an AI technology solutions provider-of-choice for 4 out of 5 of the world’s biggest technology companies, as well as leading companies across financial services, insurance, technology, law, and medicine.

By combining advanced machine learning and artificial intelligence (ML/AI) technologies, a global workforce of subject matter experts, and a high-security infrastructure, we’re helping usher in the promise of AI. Innodata offers a powerful combination of both digital data solutions and easy-to-use, high-quality platforms.

Our global workforce includes over 5,000 employees in the United States, Canada, United Kingdom, the Philippines, India, Sri Lanka, Israel and Germany.

About the Role

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Data Annotator

The role involves understanding cultural and linguistic nuances, reviewing and annotating data, and following detailed project-specific guidelines to enhance AI performance and accuracy.

Key Responsibilities

• Perform data annotation, and text evaluation in accordance with project-specific guidelines.
• Ensure high-quality, accurate, and contextually relevant annotations to support Large Language Model (LLM) training.
• Review, validate, and refine AI-generated content for grammatical, semantic, and contextual accuracy.
• Maintain consistency and quality across all deliverables while adhering to established project standards and timelines.
• Collaborate effectively with the project team to provide feedback and contribute to continuous improvement.
• Maintain strict confidentiality and comply with all project deadlines and quality assurance protocols.

Required Skills & Qualifications

• Bachelor’s degree

  in mandatory.
• Good proficiency in the English language
• Prior experience in

  data annotation

  ,

  linguistic evaluation

  , or

  AI training

  projects.

What Makes This Role Exciting

• .

  Fully remote opportunity

  , allowing you to work comfortably from home.

• Flexible working hours

  (4–5 hours per day) to suit your schedule.
• The chance to

  contribute to cutting-edge AI and Large Language Model (LLM) training initiatives

  , shaping the future of language technology.

Note:

English assessment

Google Form

Google form link:- https://forms.gle/X1WktvteyhjKPSwq5