AI Trainer

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. * Strong 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