Key Responsibilities Curate clean and label datasets for training and fine tuning AI ML models structured text image audio or conversation data depending on use case Design and maintain annotation guidelines taxonomies and labeling schemes that reflect product and business logic Run quality checks on annotated data to ensure consistency accuracy and low bias Evaluate model outputs e g chat responses classifications recommendations score quality and identify error patterns and edge cases Provide detailed feedback and examples to help data scientists ML engineers refine models and prompts Collaborate with product managers and domain experts to understand use cases compliance constraints and desired AI behaviours Help set up and monitor training and evaluation pipelines experiments A B tests benchmark suites Document training procedures annotation standards and evaluation criteria for internal reuse Stay updated on AI and ML best practices with a focus on data quality safety and responsible AI Where required support internal training for non technical teams on how to interact with test and give feedback to AI systems Required Skills Experience 2-5 years of experience in one or more of data annotation labeling NLP chatbot training ML model evaluation data analytics or a related role Robust analytical skills and ability to work with large data sets Excel Sheets preferably SQL or basic Python R for analysis Excellent language and communication skills able to judge clarity correctness and tone of AI outputs especially for text based systems High attention to detail and consistency in following and refining guidelines Experience collaborating with data scientists ML engineers and product teams Understanding of basic machine learning concepts training data validation overfitting bias evaluation metrics Nice to Have Hands on exposure to annotation tools prompt management tools or labeling platforms Experience working with or around large language models LLMs chatbots recommendation systems or search relevance Domain knowledge in one or more relevant areas for example HR healthcare finance education customer support if your AI is domain specific Familiarity with responsible AI topics bias fairness safety and privacy Education Bachelor s degree in Computer Science Data Science Engineering Linguistics Psychology or any quantitative analytical discipline Equivalent practical experience is also acceptable if you demonstrate strong data and evaluation skills Job Type Full-time Pay 8 086 00 - 38 761 31 per month Work Location In person

📌 Ai Trainer (Tamil Nadu)
🏢 Infinite Technology Solutions
📍 Tamil Nadu