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A collection of 10 LLM evaluation internship roles is open for candidates looking to gain hands-on experience in assessing and improving large language models (LLMs). These positions, available in October 2026, will allow interns to work at the intersection of artificial intelligence, machine learning, and software development to help ensure that AI systems are accurate, safe, and reliable for real-world use cases.
Interns will help design, run, and scale evaluation workflows for LLMs across a variety of tasks. Depending on the specific role, responsibilities may include curating test datasets, developing evaluation rubrics, writing automated scoring scripts, and analyzing failure cases to provide actionable feedback. Some postings may also focus on agentic systems, prompt engineering, or integration testing in collaboration with full-stack, data science, or forward-deployed engineering teams.
These internships offer practical exposure to modern LLM evaluation practices, including benchmarking, factuality checks, and alignment-focused testing. You will gain first-hand experience with iterative model improvement while receiving mentorship from experienced AI practitioners. In addition, you will develop transferable skills in technical writing, reproducible research, and data-driven decision-making that can be applied to a wide range of AI-focused careers.
Employment Type
Internship
Location
Remote
Department
Artificial Intelligence (AI)
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