AI Engineer Internship – LLM Data

About the role

The Institute of Foundation Models is seeking a motivated AI Engineer Intern to support the creation and refinement of training data for large language models (LLMs). You will work alongside researchers and engineers on cutting‑edge foundation model projects, gaining hands‑on experience in large‑scale data pipelines and synthetic data generation.

Key responsibilities

• Build, curate, and improve datasets for LLM pre‑training, mid‑training, and post‑training, handling time‑sensitive requests.
• Develop data processing workflows for extraction, cleaning, filtering, deduplication, transformation, and quality control.
• Use LLMs to generate, refine, filter, and evaluate synthetic data.
• Analyze data quality, identify duplication, low‑quality samples, distribution gaps, and coverage limitations.
• Run experiments to assess how data sources and processing strategies affect model performance.
• Support model inference, evaluation, and training experiments to validate data quality.
• Research new datasets, processing techniques, and LLM data methodologies.
• Collaborate closely with researchers and engineers on fast‑moving foundation model projects.

Required profile

• Currently pursuing a Bachelor’s, Master’s, or PhD in Computer Science, AI, Machine Learning, Data Science, or a related technical field.
• Strong programming skills in Python.
• Good understanding of machine learning, deep learning, NLP, or large language models.
• Hands‑on experience with LLMs through research, coursework, projects, internships, or open‑source contributions.
• Comfortable working with large datasets and data‑processing pipelines.

Required skills

• Python
• Machine Learning
• Deep Learning
• Natural Language Processing
• Large Language Models (LLMs)

What we offer

• Opportunity to work on state‑of‑the‑art foundation model research.
• Mentorship from world‑class researchers and engineers.
• Hands‑on experience with large‑scale data engineering and AI experimentation.