Trainer

Enabled Intelligence•St. Louis, MO

22d•Onsite

About The Position

Enabled Intelligence, Inc. provides data labeling and AI solutions for government and commercial customers. The Geospatial Imagery Analysis SME / Quality Assurance Analyst-II reports to the Enabled Intelligence 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 and performs final Quality Assurance (QA) reviews before data is delivered to customers. The analyst reviews annotation labels, identifies, documents, and corrects errors to help ensure campaigns meet contract accuracy requirements of 95% or higher, and reports project-wide error patterns to Quality and Project Management. As a secondary responsibility, the role uses observed data and error patterns to train and coach staff. This includes targeted project- and campaign-specific training and desk-side support for Data Annotators, QC Analysts, and other QA Analysts/SMEs. The position is based 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 when applying.

Requirements

At least 5 years of experience as a Geospatial Imagery Analyst or Geospatial Intel Analyst.
Expert-level experience working 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 with 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.
Applicants selected are subject to a criminal background check.

Nice To Haves

Experience facilitating training, including geospatial imagery analysis or data annotation training.
Experience providing feedback to management, peers, and team members.
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; active TS-SCI clearance is a plus.

Responsibilities

Provide onsite, real-time expert-level guidance to Data Annotators working on projects.
Provide expert guidance and support to QC Analysts on reviewing images and marking errors.
Conduct final QA reviews of QC work before customer delivery, ensuring at least 95% accuracy and identifying, documenting, and correcting errors as needed.
Review project metrics, document project 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 experiencing 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.
Provide image and data analysis expertise to develop staff skills in feature identification, classification, and labeling, using approaches suited to different learning styles and campaign needs.
Collaborate 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.