About this role
Key Responsibilities
- Annotate and classify operational datasets, including specific modalities, using approved taxonomies, metadata standards, and task-specific instructions.
- Prepare and organize labeled datasets for use within existing AI platforms and applications.
- Review annotations for accuracy, completeness, consistency, and adherence to approved labeling conventions.
- Identify, document, and resolve data discrepancies, ambiguous records, duplicate entries, and inconsistent labels; elevate unresolved cases to appropriate subject matter experts.
- Coordinate with technical teams and functional subject matter experts to clarify labeling criteria and data interpretation.
- Perform first and second-pass quality reviews using defined sampling plans, acceptance criteria, and annotation-agreement measures; document findings and complete required rework.
- Maintain data labeling records, change history, quality findings, and supporting documentation to preserve traceability.
- Support the refinement of annotation instructions, review checklists, and repeatable data quality workflows.
- Handle data in accordance with applicable government security, access, and information management requirements.
Required Qualifications
- Bachelor’s degree in Information Systems, Data Analytics, Computer Science, or a related discipline; equivalent relevant experience may be considered.
- 3–5 years of relevant experience in data labeling, data annotation, data quality assurance, data management, or comparable data operations.
- Demonstrated experience reviewing, categorizing, and validating structured or unstructured datasets.
- Ability to apply labeling guidelines, metadata conventions, and documented quality standards consistently.
- Experience identifying data discrepancies and documenting corrective actions.
- Proficiency with spreadsheet applications and common data organization tools.
- Strong attention to detail, analytical judgment, and organizational skills.
- Ability to work independently while coordinating with technical teams and nontechnical subject matter experts.
- Strong written and verbal communication skills.
- Active Security Clearance Required: Secret or higher
Desired Qualifications
- Experience supporting DoD or other government data operations programs.
- Familiarity with data annotation or labeling platforms such as Label Studio, CVAT, or comparable tools.
- Experience preparing data for use in existing AI-enabled applications or operational analytics platforms.
- Familiarity with metadata management, controlled vocabulary, taxonomies, and dataset versioning.
- Experience with quality sampling, annotation agreement checks, and repeatable data review processes.
- Familiarity with CSV, JSON, SQL, or other common data formats and query tools.
- Experience working in controlled-access or secure government computing environments.