LLM Evaluation Intern

This listing aggregates 20+ paid LLM evaluation internship opportunities for students and early-career professionals seeking hands-on experience in AI model assessment and quality assurance. Interns will contribute to evaluating the performance, safety, and reliability of large language models across use cases including conversational AI, content generation, and logical reasoning. Key responsibilities may include designing and executing custom evaluation benchmarks, analyzing model outputs for hallucinations, factual errors, and demographic bias, documenting evaluation findings, and collaborating with ML research and engineering teams to inform model improvements. These roles offer monthly stipends ranging from ₹9,000 to ₹15,000, with opportunities available across multiple tech and AI-focused organizations. Ideal for candidates passionate about natural language processing and responsible AI, these internships provide practical exposure to cutting-edge LLM development workflows and evaluation best practices.

• Currently enrolled in a bachelor’s or master’s program in Computer Science, Artificial Intelligence/Machine Learning, Data Science, Computational Linguistics, or a related discipline, or a recent graduate from the 2024-2026 batches
• Basic proficiency in Python and familiarity with NLP tools and libraries such as Hugging Face Transformers, spaCy, or NLTK
• Foundational understanding of large language model architectures and common LLM evaluation metrics (e.g., BLEU, ROUGE, perplexity, factual accuracy scores)
• Strong attention to detail with the ability to identify subtle errors, inconsistencies, or biases in AI-generated content
• Excellent written and verbal communication skills to clearly document evaluation results and collaborate with cross-functional teams
• Prior experience with prompt engineering, AI model testing, or relevant personal/academic AI projects is a plus