AI/ML Engineer, Junior

About the role

As a data technician, you will play a crucial role in preparing datasets by labeling images, tagging objects, and applying metadata that supports AI model development. Your responsibilities include:

• Labeling or annotating data, including images or objects, to support data preparation workflows.
• Performing basic quality checks to ensure consistency and accuracy in labeled datasets.
• Using basic digital tools for reviewing and labeling content.
• Organizing information according to established practices, including categorizing and structuring data.
• Maintaining high accuracy across repetitive tasks.
• Identifying and reporting data inconsistencies or unclear cases.
• Learning new technical processes and tools over time.
• Collaborating with engineers and analysts to ensure datasets are accurate, complete, and ready for future model training.

Responsibilities

You will help prepare datasets by labeling images, tagging objects, and applying metadata that supports AI model development. Your specific duties include:

• Labeling or annotating data, including images or objects, to support data preparation workflows.
• Performing basic quality checks to ensure consistency and accuracy in labeled datasets.
• Using basic digital tools for reviewing and labeling content.
• Organizing information according to established practices, including categorizing and structuring data.
• Maintaining high accuracy across repetitive tasks.
• Identifying and reporting data inconsistencies or unclear cases.
• Learning new technical processes and tools over time.
• Collaborating with engineers and analysts to ensure datasets are accurate, complete, and ready for future model training.

Requirements

To succeed in this role, you should have:

• 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.
• The ability to follow detailed instructions and maintain high accuracy across repetitive tasks.
• The ability to identify and report data inconsistencies or unclear cases.
• The ability to learn new technical processes and tools over time.
• The ability to obtain a Secret clearance.

Qualifications

To qualify for this role, you should have:

• A Bachelor’s degree.

Skills

Desired skills include:

• Experience working with basic scripting or software tools.
• Knowledge of AI concepts or how training data supports model development.
• Knowledge of metadata tagging, object identification, or digital imaging.
• The ability to learn basic scripting or automation methods over time.
• The ability to collaborate with technical teammates such as engineers or analysts.

Benefits

We offer a comprehensive benefits package that includes:

• Health, life, disability, financial, and retirement benefits.
• Paid leave.
• Professional development opportunities.
• Tuition assistance.
• Work-life programs.
• Dependent care.
• Recognition awards program.

Pay

The estimated annual salary range for this position is $55,200.00 to $126,000.00 (annualized USD).

Schedule

This position may be remote, hybrid, or onsite, depending on the role and location.