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 Job Title: Data Annotator Employment Type: Freelance / Project-Based Location: Remote (Work From Home) Work Hours: Flexible; minimum commitment of 4–5 hours per day 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. 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: For this role, you are required to complete the English assessment within two (2) days from the date it is assigned to you.

Apply Now