Junior AI/ML Data Labeling Engineer

Phase2 Technology; Wharton (NJ); On-site; USD 55,200 - 126,000; Full time

Job summary

Booz Allen Hamilton is seeking a Junior AI/ML data technician to help label images and tag objects for AI model development. You will apply metadata and assist in preparing high-quality datasets for training while following precise instructions and maintaining accuracy across large volumes of data.

You will work with engineers and analysts to ensure datasets are complete and ready for model training, building your skills as you learn how labeled data supports AI systems.

Qualifications

• Experience labeling or annotating data, including images or objects.
• Experience performing basic quality checks to ensure consistency and accuracy.
• 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 obtain a Secret clearance.
• Bachelor's degree is required.

Responsibilities

• Label images and objects and apply metadata to support AI model development.
• Collaborate with engineers and analysts to ensure datasets are accurate, complete and ready for future model training.
• Grow technical skills by learning how AI systems use labeled data and participate in data preparation workflows.

Skills

Data labeling/annotation

Quality checks

Data organization

Follow detailed instructions

Attention to detail

Education

Bachelor's degree

Job description

Booz Allen Hamilton is seeking a Junior AI/ML data technician to help label images and tag objects for AI model development. You will apply metadata and assist in preparing high-quality datasets for training while following precise instructions and maintaining accuracy across large volumes of data.

You will work with engineers and analysts to ensure datasets are complete and ready for model training, building your skills as you learn how labeled data supports AI systems.