AI 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

Job Title: AI Trainer

Role Type: Freelance

Language: English

Work Mode: Remote

Payment Structure: Hourly-based

About the Role

We are seeking a detail-oriented and analytical AI Trainer to support the development, training, and improvement of artificial intelligence models. The role involves creating, reviewing, and evaluating data such as text, questions & answers, prompts, and model outputs to ensure accuracy, relevance, and quality aligned with project guidelines

Key Responsibilities

• Create, curate, and annotate high-quality training data for AI/LLM models
• Develop and validate questions, answers, prompts, and explanations based on defined guidelines
• Review and evaluate AI-generated outputs for accuracy, logic, relevance, and compliance
• Identify errors, biases, or inconsistencies in model responses and provide corrective feedback
• Follow project-specific quality standards, formatting rules, and timelines
• Perform quality checks and revisions based on QA/client feedback
• Maintain confidentiality and data security throughout the project lifecycle
• Collaborate with QA teams, reviewers, and project managers as required

Qualifications

• Undergraduates or High school passed
• Strong written communication skills in English Excellent analytical, logical reasoning, and problem-solving abilities.
• Ability to follow detailed instructions and structured formats Basic understanding of AI, machine learning, or large language models.

Preferred skills

• Experience in data annotation, content creation, QA, or training roles
• Familiarity with AI tools, annotation platforms, or content management system
• Subject-matter expertise in one or more domains (e.g., Math, Science, Coding, Language, Finance, etc.

Also, you need to go through one assessment, so kindly apply only if you will be available for the assessment and ready to collaborate for the project.