Geospatial AI Data Annotator- St. Louis

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.

• 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 techniques
• Gain an in-depth knowledge of using both commercial and custom annotation software tools
• Keep project manager informed of platform enhancement ideas, risks, and issues

• Eligibility to obtain a Top Secret- SCI security clearance
• US Citizenship Required
• Ability to follow directions and meet deadlines
• Ability to communicate reliably
• Ability to learn and retain new information and apply it to a variety of projects
• Ability to be a good team player and work with individuals with different communication, learning and working styles.
• Ability to work independently including managing your schedule, attending all required meetings and completing projects within a deadline
• Ability to understand and apply guidelines for data annotation
• Ability to perform repetitive tasks while paying constant close attention to detail and delivery accurate and precise work
• Ability to keep information confidential
• Ability to work out of the Enabled Intelligence office located in St. Louis MO, VA Monday-Friday during normal business hours

• Previous experience working in a professional, office environment
• Previous experience in an IT based position
• Education background in information technology or technical field
• Previous experience with data labeling or image annotation including analyzing 2D and 3D images, video, audio files, or unstructured text (EO, IR, SAR, FMV)
• Prior experience with business productivity tools like Microsoft Office, and/or Slack
• High school Degree

• Prolonged periods of sitting at a desk and working on a computer

• Applicants selected will be subject to background investigation and must meet requirements for employment.