Quick answer: The RLHF cluster — train and evaluate AI models with domain expertise.
An AI Trainer / Tutor / Annotator / Evaluator helps build better AI models by providing domain expertise, human feedback, and quality oversight. You work with AI companies, research labs, and tech startups to label datasets, evaluate model outputs, fine-tune responses, and create training data that teaches AI systems to behave correctly. Think of it as being a quality gatekeeper and teacher for AI. In India, this role is increasingly common at companies like Razorpay, Swiggy's AI labs, NeGD (National e-Governance Division), and AI-first startups. You bridge the gap between raw AI capability and real-world usefulness—ensuring models understand context, cultural nuance, local languages, and ethical constraints. Remote-first opportunities are abundant, with many global AI companies hiring Indian annotators and evaluators for their RLHF (Reinforcement Learning from Human Feedback) pipelines.