AI Specialist

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.
At Innodata Inc., we believe that the future of artificial intelligence is built on high-quality, meticulously curated data. As global demand for cutting-edge AI models continues to soar, we are looking for passionate, detail-oriented minds to join our expanding global AI and Machine Learning talent network.
If you thrive on working with data, possess sharp analytical skills, and want to play a direct role in driving real-world AI innovation, this is your chance to make an impact.
Why Join the Innodata AI Network?
Be at the Forefront of AI Innovation: Work on high-impact projects that directly train, fine-tune, and evaluate state-of-the-art AI and Generative AI systems.
Global Collaboration: Connect and collaborate with a forward-thinking, diverse team of professionals across the globe.
Flexibility & Growth: Enhance your skill set in machine learning, natural language processing, and data engineering while working on dynamic assignments.
Help shape the future of AI.
We’re looking for detail-oriented AI Data Evaluators to support AI training and evaluation projects. The role involves reviewing, annotating, and assessing data to improve AI model quality, accuracy, and relevance.
What You’ll Do
Perform data annotation and mixed-annotation tasks across different data formats.
Evaluate AI-generated content for accuracy, relevance, quality, and consistency.
Follow detailed guidelines and maintain a high level of attention to detail.
Identify errors, inconsistencies, and areas for improvement.
Communicate clearly and collaborate effectively with project teams.
What We’re Looking For
Strong written and spoken communication skills.
Excellent English comprehension and communication.
High attention to detail and analytical thinking.
Ability to follow guidelines accurately and consistently.
Prior experience in data annotation, AI evaluation, content moderation, or similar work is an advantage.
Selection Process
Candidates will complete 2 assessments:
Skills Assessment – Evaluates annotation, attention to detail, and AI evaluation skills.
Communication Assessment – Evaluates written and spoken communication abilities.
“Please note that the organization follows a strict no-fee recruitment policy and does not request any payment from candidates at any stage of the hiring process, including through third-party agencies or consultants. Candidates are advised to immediately report any such payment requests in connection with employment opportunities, as they are unauthorized and fraudulent.”

Work arrangement
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