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 a day from the date it is assigned to you.