Data Labeling Specialist (AI)

Location: On-site in Aberdeen, Maryland, US

Company

hirify.global provides advanced software solutions and mission and business support services for government and other organizational customers.

What you will do

• Annotate, classify, prepare, and organize structured and unstructured operational datasets for existing AI platforms and applications.
• Review annotations for accuracy, completeness, consistency, and compliance with approved taxonomies, metadata standards, and labeling conventions.
• Identify, document, and resolve discrepancies, ambiguous records, duplicate entries, and inconsistent labels, escalating unresolved cases to subject matter experts.
• Perform first- and second-pass quality reviews using sampling plans, acceptance criteria, and annotation-agreement measures; document findings and complete rework.
• Maintain labeling records, change history, quality findings, and supporting documentation to preserve traceability.
• Coordinate with technical personnel, functional subject matter experts, and government stakeholders while refining annotation instructions, checklists, and repeatable data-quality workflows.

Requirements

• 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.
• Experience reviewing, categorizing, and validating structured or unstructured datasets and applying documented labeling, metadata, and 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, organizational skills, and written and verbal communication.
• Ability to work independently while coordinating with technical teams and nontechnical subject matter experts.
• Active Secret or higher security clearance required.

Nice to have

• Experience supporting DoD or other government data operations programs.
• Familiarity with Label Studio, CVAT, or comparable annotation platforms.
• Experience preparing data for existing AI-enabled applications or operational analytics platforms.
• Familiarity with metadata management, controlled vocabularies, 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.

Culture & Benefits

• Full-time, on-site work supporting AI operations within a government command-and-control environment.
• Work alongside technical personnel, functional experts, and government stakeholders on mission-focused data operations.
• Culture emphasizing fairness, respect, accountability, adaptability, employee contribution, and open participation.