16 LLM Evaluation Internships - Internshala

This listing compiles 16 active LLM evaluation internship opportunities hosted on Internshala, designed for students and early-career professionals seeking practical experience in large language model assessment, AI quality assurance, and adjacent AI/ML domains. The available roles cover a diverse set of specializations including AI Agent Development, AI/LLM Full Stack Development, Data Analytics for LLM systems, core AI/ML & LLM research, AI Support Engineering, and AI-focused Full Stack development. Interns will contribute to real-world projects such as evaluating LLM performance metrics, identifying and mitigating model biases, optimizing response accuracy, building robust evaluation frameworks, and supporting the deployment of production-grade AI systems. Most roles offer flexible work arrangements, with a large number of positions available remotely to accommodate candidates across India. These internships are ideal for individuals with foundational knowledge of machine learning, natural language processing, and programming, looking to build in-demand skills in the rapidly expanding AI industry. Across most listed opportunities, interns receive competitive stipends, dedicated mentorship from industry experts, and potential for full-time role conversion post-internship, with program durations ranging from 1 to 6 months depending on the specific role requirements.

• Currently enrolled in or recently graduated from a bachelor's/master's program in Computer Science, AI/ML, Data Science, Statistics, or a related technical discipline
• Basic understanding of core machine learning concepts, natural language processing (NLP), and large language model (LLM) architecture and functionality
• Proficiency in at least one programming language (Python strongly preferred) and familiarity with relevant AI/ML toolkits including Hugging Face Transformers, PyTorch, or TensorFlow
• Strong analytical and critical thinking skills, with a keen eye for detail to assess model outputs, identify edge cases, and document evaluation findings accurately
• Excellent written and verbal communication skills to collaborate with cross-functional teams, present evaluation results, and contribute to process documentation
• Prior experience with AI/ML projects, LLM fine-tuning, prompt engineering, or existing evaluation frameworks is a valued asset for more senior internship roles
• Ability to commit to the full advertised internship duration (typically 1 to 6 months) as per the requirements of the specific role applied for