AI/ML Engineer, Junior

Booz Allen Hamilton•Wharton, NJ

8d•$55,200 - $126,000•Remote

About The Position

As a data technician, you know that high‑quality labeled data is essential for training artificial intelligence systems. Your ability to recognize patterns, follow detailed instructions, and maintain consistency across large volumes of information makes you an important part of building reliable AI‑enabled solutions. We need your attention to detail and willingness to learn to support mission‑focused data preparation work. As part of our team, you’ll help prepare datasets by labeling images, tagging objects, and applying metadata that supports AI model development. You’ll grow your technical skill set as you learn how AI systems use labeled data and collaborate with engineers and analysts to ensure datasets are accurate, complete, and ready for future model training. Work with us to support real‑world missions through foundational AI data preparation. Join us. The world can't wait.

Requirements

Experience labeling or annotating data, including images or objects, to support data preparation workflows
Experience performing basic quality checks to ensure consistency and accuracy in labeled datasets
Knowledge of basic digital tools used for reviewing and labeling content
Knowledge of data organization practices, including categorizing and structuring information
Ability to follow detailed instructions and maintain high accuracy across repetitive tasks
Ability to identify and report data inconsistencies or unclear cases
Ability to learn new technical processes and tools over time
Ability to obtain a Secret clearance
Bachelor’s degree

Nice To Haves

Experience working with basic scripting or software tools
Experience supporting teams in digital, analytical, or data‑driven environments
Knowledge of AI concepts or how training data supports model development
Knowledge of metadata tagging, object identification, or digital imaging
Ability to learn basic scripting or automation methods over time
Ability to collaborate with technical teammates such as engineers or analysts

Responsibilities

Prepare datasets by labeling images, tagging objects, and applying metadata that supports AI model development.
Ensure datasets are accurate, complete, and ready for future model training.
Collaborate with engineers and analysts.