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AI Trainer / Tutor / Annotator / Evaluator

AI Trainer Jobs in India | ₹15K–₹8L Remote

The RLHF cluster — train and evaluate AI models with domain expertise. Scale AI, Surge AI, Karya, and Mercor all hire India-remote.

Quick answer: Shape how AI behaves in production by training, rating, and evaluating language models—no coding required. India-remote roles at Scale AI, Surge AI, and Karya pay ₹15K–₹8L monthly. Build expertise in prompt engineering and model evaluation while helping companies ship better AI.

Your typical day involves evaluating AI model responses against detailed rubrics, annotating text or code samples to train models on quality standards, or tutoring AI systems by providing corrective feedback. You might spend your morning rating whether a model's answer to a medical question meets clinical accuracy standards, then shift to annotating 50 code snippets to teach the model better programming practices. The work requires deep attention to detail, clear communication of feedback, and domain expertise—whether that's software engineering, legal knowledge, creative writing, or domain-specific terminology in your field.

This role is increasingly the bridge between AI researchers (who design models) and end users (who depend on them). As AI systems become more capable, the demand for human evaluation and tutoring only grows. India's remote-first hiring by global AI companies makes this one of the most accessible, high-integrity paths into the AI industry.

What you'll work on:

  • Evaluating model outputs against detailed rubrics to measure quality, safety, and accuracy
  • Annotating text, code, or domain-specific data to train models on correct behavior
  • Providing iterative feedback to tune model responses for real-world use cases
  • Building domain expertise libraries or style guides for consistent AI training across teams
  • Participating in RLHF (Reinforcement Learning from Human Feedback) pipelines that directly shape production AI systems

In India, AI Trainers and Evaluators typically transition into Product roles at AI companies, become prompt engineers or AI consultants, or move into specialized QA and testing for AI systems. The role is entry-level cognitively but demands rigor and domain depth—compensation ranges from ₹25,000–₹60,000/month depending on specialization and experience, with scope to grow into leadership roles managing evaluation teams.

Course ladder — become a AI Trainer / Tutor / Annotator / Evaluator in 6 weeks

AIshala-vetted free courses sequenced for this career path. Total prep time: 6 weeks.

Step 1
Free AI foundations
Teaches foundational AI concepts (ML, neural networks, supervised learning) essential to understanding what you're evaluating and why model outputs succeed or fail.
Step 2
Domain practice
Covers knowledge representation, natural language processing, and reasoning systems—core to evaluating how AI processes language, logic, and domain-specific problems.
Step 3
Apply with portfolio
Introduces AI problem-solving techniques, constraint satisfaction, and real-world AI applications—necessary to contextualize evaluation criteria and real-world model behavior.

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