English LLM Trainer

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

• Role: English LLM Trainer
• Engagement: Freelance / Independent Contractor
• Location: Remote
• Work Type: AI Model Evaluation & Training
• Working hours: 5-6 hours daily(flexible)
• Experience: Relevant experience preferred

Overview:

We are looking for skilled English LLM Trainers to help improve next-generation AI models. The role involves evaluating AI-generated responses, identifying errors, and providing high-quality feedback to enhance model accuracy, reasoning, relevance, and overall performance.

Key Responsibilities:

• Evaluate AI-generated responses against given prompts and guidelines.
• Assess responses for accuracy, relevance, completeness, tone, grammar, and instruction following.
• Identify factual, logical, linguistic, and formatting errors.
• Compare multiple AI responses and determine which response is better.
• Provide clear and consistent feedback to improve model performance.
• Follow project-specific guidelines and maintain high annotation quality.

Requirements

• English proficiency: C1/C2 (Advanced/Proficient).
• Strong written and verbal communication skills in English.
• Ability to understand complex instructions and apply evaluation criteria consistently.
• Prior experience in AI training, LLM evaluation, content review, data annotation, proofreading, writing, or related fields is preferred.