Geospatial Imagery Analysis SME / Quality Assurance Analyst-II/ Trainer

Enabled Intelligence•St. Louis, MO
•Onsite

About The Position

Enabled Intelligence, Inc. provides data labeling and AI solutions for government and commercial customers. Its US-based analysts bring subject-matter expertise and knowledge of data annotation, model development, and testing and evaluation. The company describes its culture as collaborative, inclusive, and people-focused. The Geospatial Imagery Analysis SME / Quality Assurance Analyst-II reports to the Director, Quality Delivery, and partners with the Director of Training. The role provides hands-on technical support to Data Annotators and Quality Control (QC) Analysts, performs final Quality Assurance (QA) reviews before customer delivery, and helps train and coach staff. The analyst reviews annotation labels, identifies and corrects errors, and helps ensure campaigns meet contract accuracy requirements of 95% or higher. The role also tracks project error patterns and uses observations from the data to provide targeted training and desk-side support. The position is based onsite at Enabled Intelligence’s St. Louis, Missouri office, Monday through Friday, with occasional travel to client offices in the St. Louis and National Capital Regions. Applicants selected are subject to a criminal background check and must be able to obtain and maintain a TS-SCI security clearance; an active clearance is not required at application.

Requirements

  • At least 5 years of experience as a Geospatial Imagery Analyst or Geospatial Intelligence Analyst.
  • Expert-level experience with geospatial imagery, including EO, IR, SAR, and FMV.
  • Expert-level knowledge of air, naval, and ground vehicle order of battle.
  • Previous QC/QA experience in data annotation or imagery analysis.
  • Completion of a formal Geospatial Imagery Analysis/Intelligence certification or training program.
  • Strong writing, presentation, communication, and collaboration skills.
  • Ability to take initiative and ownership and solve problems in a dynamic environment.
  • Interest in working in a diverse, people-focused environment and willingness to learn how to support people with different abilities and communication styles.
  • Ability to work at the EI corporate office in St. Louis, Missouri, Monday through Friday.
  • Ability to obtain and maintain a TS-SCI security clearance.
  • Selected applicants are subject to a criminal background check.

Nice To Haves

  • Experience facilitating training, including geospatial imagery analysis or data annotation training.
  • Educational background or training in program management, geospatial data, and/or analysis science.
  • Previous management experience.
  • Military experience.
  • Previously held U.S. government security clearance; an active TS-SCI clearance is a plus.

Responsibilities

  • Provide onsite, real-time expert guidance to Data Annotators working on projects.
  • Guide QC Analysts on reviewing images and marking errors.
  • Perform final QA of QC before customer delivery, aiming for at least 95% accuracy; identify, document, and correct errors as needed.
  • Review project metrics, document error patterns, and present findings to Quality and Project Management.
  • Review data during project kickoff to validate ontology and edge cases.
  • Work with QC and Annotation Team Supervisors to provide remedial support to team members with performance difficulties.
  • Deliver project- and campaign-specific training and desk-side support to Data Annotators, QC Analysts, and other QA Analysts/SMEs, using company templates and procedures and observed error patterns.
  • Use image and data analysis expertise to strengthen staff skills in feature identification, classification, and labeling, adapting approaches to individual learning styles and campaign needs.
  • Coordinate with Program Management, Quality, and Training teams to maintain best practices and standards.
  • Work with annotation team supervisors and the Chief People Office to learn how to support people with different abilities, communication styles, and workplace accommodations.
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