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.
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 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
Required Qualifications and Skills
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
Desired Qualifications and Skills
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
Highschool Degree
Physical Requirements
Prolonged periods of sitting at a desk and working on a computer
Background Check
Applicants selected will be subject to background investigation and must meet requirements for employment.
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