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.