LLM Data Engineer Intern (Foundation Models)

Ifm Us; Abu Dhabi; On-site; AED 22,000 - 45,000; Full time

Job summary

The Institute of Foundation Models seeks an AI Engineer Intern specializing in LLM data to help build and improve 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 with researchers and engineers on fast-moving foundation model projects, focusing on data-centric methods and

Qualifications

• Pursuing a degree in CS/AI/ML/DS or related technical field.
• Strong Python programming skills.
• Good understanding of ML, deep learning, NLP, or large language models.
• Hands-on experience with LLMs through research, coursework, projects, internships, or open-source work.
• Comfortable working with datasets and data processing/analysis.
• Strong problem-solving skills and fast learner.
• Ability to work independently and with a team in a fast-paced research environment.

Responsibilities

• Build, curate, and improve datasets for LLM pre-training, mid-training, and post-training, including time-sensitive requests.
• Develop and improve 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 issues.
• Run experiments to understand how data sources and processing affect model performance.
• Support model inference, evaluation, and training experiments to validate data quality.
• Research new datasets, data processing techniques, and LLM data methodologies.
• Collaborate closely with researchers and engineers on fast-moving foundation model projects.

Skills

Python

Machine Learning

NLP

LLMs

Data processing

Education

Bachelor's/Master's/PhD in CS/AI/ML/DS

Tools

PyTorch

Hugging Face

vLLM

Job description

The Institute of Foundation Models seeks an AI Engineer Intern specializing in LLM data to help build and improve 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 with researchers and engineers on fast-moving foundation model projects, focusing on data-centric methods and