LLM Data Engineer Intern: Shape Foundation Models

Institute of Foundation Models; Abu Dhabi; On-site; AED 17,000 - 33,000; Part time

Job summary

Institute of Foundation Models invites an AI Engineer Intern specializing in LLM data to build and refine high-quality training data for foundation models across pre-training, mid-training, and post-training. You will gain hands-on experience with large-scale data processing, LLM-based data synthesis, data quality evaluation, and model experimentation.

You will collaborate closely with researchers and engineers on fast-moving foundation model projects, contributing to data pipelines and

Qualifications

• Pursuing a degree in CS/AI/ML/Data Science or related field.
• Strong Python programming skills.
• Good understanding of ML, DL, NLP, or LLMs.
• Hands-on experience with LLMs through research, coursework, projects, internships, or open‑source work.
• Comfortable working with datasets and performing data processing and analysis.
• Strong problem-solving skills and willingness to learn new technologies quickly.
• Ability to work independently and collaborate in a fast-paced research environment.

Responsibilities

• Build, curate, and improve datasets for LLM pre-training, mid-training, and post-training.
• 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 and identify duplication, low-quality samples, distribution gaps, and coverage limitations.
• Run experiments to understand how different data sources and processing strategies impact model performance.
• Support model inference, evaluation, and training experiments to validate data quality.
• Research new datasets, data processing techniques, and LLM data methodologies.
• Collaborate with researchers and engineers on fast-moving foundation model projects.

Skills

Python

Machine learning

Deep learning

NLP

Large language models

LLMs data processing

Education

Bachelor’s, Master’s, or PhD in Computer Science, Artificial Intelligence, Machine Learning, Data Science

Tools

PyTorch

Hugging Face

vLLM

Job description

Institute of Foundation Models invites an AI Engineer Intern specializing in LLM data to build and refine high-quality training data for foundation models across pre-training, mid-training, and post-training. You will gain hands-on experience with large-scale data processing, LLM-based data synthesis, data quality evaluation, and model experimentation.

You will collaborate closely with researchers and engineers on fast-moving foundation model projects, contributing to data pipelines and