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 Titl
e: AI Trainer
Role Typ
e: Freelance
Language
: Italian, German, French
Work Mod
e: Remote
Payment Structur
e: Hourly-based
About the Role:
We are seeking a detail-oriented and analyt
ical AI Tr
ainer 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 va
lidate questions, answers, prompts, and expla
nations 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 systems
* 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.