Remote Working

vor 3 Wochen

Deutschland Innodata Inc. Vollzeit

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.

Job Title: Data Annotator
Employment Type: Freelance / Project-Based
Location: Remote (Work From Home)
Eligibility: Open to candidates with a Bachelor’s degree


We are seeking Data Annotator to support a data annotation and linguistic quality project aimed at training Large Language Models (LLMs) . This is a freelance, remote opportunity that offers flexible working hours.
The role involves understanding cultural and linguistic nuances, reviewing and annotating data, and following detailed project-specific guidelines to enhance AI performance and accuracy.

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.

Bachelor’s degree in mandatory.
Good proficiency in the English language
Prior experience in data annotation , linguistic evaluation , or AI training projects.

Fully remote opportunity , allowing you to work comfortably from home.
The chance to contribute to cutting-edge AI and Large Language Model (LLM) training initiatives , shaping the future of language technology.

For this role, you are required to complete the English assessment within a day from the date it is assigned to you.

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