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.
We’re excited to share that Innodata Inc. is expanding its AI and Machine Learning Talent Network, and we’re looking for passionate, detail-oriented professionals to join us as Data Annotators and Content Moderators (Review & Labeling) .
If you enjoy working with data, have a strong eye for detail, and wish to contribute to real-world AI innovation, this is a wonderful opportunity to become part of a forward-thinking global team .
Role Details
* Work Mode: Remote
* Engagement Type: Contract
* Daily Commitment: 5–6 hours
* Language: Italian
Key Responsibilities
* Review, label, and moderate online content (may include sensitive material).
* Ensure data accuracy, consistency, and overall quality.
* Contribute to building AI training datasets for next-generation systems.
* Provide feedback and insights to enhance ongoing processes.
Requirements
* Minimum qualification: High School Graduate (or higher) .
* Strong command of English (written and verbal) .
* Excellent analytical and communication skills .
* Comfortable working with diverse content types.
* Access to a private, secure workspace with stable internet .
LLM & Versant English Proficiency Test
Evaluates your spoken and written English proficiency knowledge of Large Language Models.
✅ Once both assessments are successfully completed, you’ll be eligible for onboarding and background verification .
If you’re detail-oriented, tech-curious, and eager to contribute to the future of AI, we’d love to have you in our growing network.
If Interested, kindly send your resume at: