Enabled Intelligence

Geospatial AI Data Annotator

Enabled Intelligence
US St. Louis, MO, US
Onsite 2026-06-25
Estimated salary · St. Louis
~ $73,872 - $128,313
Low
$73K
Median
$97K
High
$128K
Market in St. Louis · BLS OEWS 2025
Estimated net pay
$4,860 - $7,823
/month · 21% withheld
after tax & contributions · on the estimated salary · Single, no dependents

Job description

**Geospatial AI Data Annotator** ***About Enabled Intelligence, Inc.*** Enabled Intelligence, Inc. provides extremely accurate, precise and secure data labeling and AI solutions to help our government and commercial customers effectively deploy reliable and unbiased artificial intelligence technologies. We leverage the unique talents of veterans, people with different abilities, and subject matter experts to unlock the value of data to improve the delivery of public services and mission critical national security programs. Every Enabled solution starts with a team of highly\-trained, US based data analysts that have both subject\-matter expertise as well as a deep understanding of the best techniques and tools for AI data annotation, model development, and testing and evaluation. At EI we respect and celebrate individuals from all walks of life. Our different backgrounds, cultures, experiences, and way of thinking make us stronger together and result in the most accurate and reliable AI solutions for our clients. We are extremely committed to a culture and environment where excellence can be achieved! ***Geospatial AI Data Annotator*** Data annotation is an essential component in training artificial intelligence/machine learning (AI/ML) algorithms. As a member of the Enabled Intelligence annotation team, you will help us collect and annotate unclassified, sensitive, and classified data for AI/ML technologies. We are looking for detail\-oriented individuals who will collaborate with our team, label large amounts of data, and provide feedback to our data scientists and engineers to create high\-quality labeled data sets. Joining our team means playing an integral role for the future of government AI/ML capabilities. ***Responsibilities*** * Use advanced analytic tools to locate, label, tag and categorize various elements in large datasets * Interact with data science and data engineering teams to design new features for more efficient labeling

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