As a Data Labeling & Annotation Analyst with the Department of National Defence, you will play a critical role in preparing and organizing data for artificial intelligence and machine learning applications. You will work with large datasets, applying consistent labeling standards and quality control processes to ensure data accuracy and usability for AI research and modeling initiatives. Your work directly supports the development of advanced technologies that enhance DND capabilities and decision-making.
Your day-to-day responsibilities will include reviewing and categorizing raw data according to established guidelines, applying annotations and tags to datasets, documenting your work processes, and identifying data quality issues. You will collaborate with AI researchers, data scientists, and subject matter experts to understand labeling requirements and ensure your annotations meet project specifications. You may also contribute to the refinement of labeling protocols and provide feedback on data collection methodologies.
You will work in a collaborative, technology-focused environment within DND's AI research divisions or innovation centres. This role offers the opportunity to contribute to meaningful defence and security initiatives while developing expertise in data science and artificial intelligence—fields that are critical to Canada's technological advancement.
Key Responsibilities
Contribute to artificial intelligence (ai) research & modeling projects and initiatives, Develop, test, and deploy AI/ML models and solutions, Analyze data to support evidence-based decision-making, Document technical approaches and ensure responsible AI practices
Required Skills
Python/R programming, Machine learning frameworks, Data analysis, Statistical modelling, Critical thinking, Technical proficiency, Attention to detail, Collaboration, Continuous learning
Typical Education
Post-secondary education or equivalent experience relevant to the position
Training
You will typically need a bachelor's degree in computer science, data science, mathematics, engineering, or a related field. Some positions may accept candidates with relevant college diplomas combined with substantial work experience in data management or analytics. Strong foundational knowledge of data structures, basic statistics, and familiarity with data management tools is essential.
While formal certifications are not mandatory, professional development in areas such as machine learning fundamentals, data quality standards, and AI ethics can enhance your career progression. DND supports ongoing learning through access to online courses, professional workshops, and certifications in emerging AI technologies. Many employees pursue credentials in data science, advanced analytics, or specialized AI domains as they progress in their careers.
Entry Plans
You can enter this career with DND through several pathways. The primary method is through Public Service Commission (PSC) advertised competitions for Data Labeling & Annotation Analyst positions. These competitions are typically open to Canadian citizens, permanent residents, and in some cases, veterans and priority groups as defined by Treasury Board policies.
If you are a recent graduate, you may be eligible for DND's Post-Secondary Recruitment Program or similar student hiring initiatives that provide entry-level opportunities and professional development. If you are already working in the federal Public Service, you can apply for lateral moves or internal competitions, which may offer priority consideration. Some specialized recruitment campaigns may target individuals with AI or data science backgrounds through targeted outreach and talent pools. We recommend regularly checking the PSC website (jobs.gc.ca) and DND's internal career portals for current opportunities that match your qualifications.
Part-Time Options
Data Labeling & Annotation Analyst positions are typically offered on a full-time, permanent basis. However, depending on project needs and operational requirements, part-time or term-certain opportunities may occasionally be available, particularly in research divisions.
Flexible work arrangements are increasingly available within DND, and many employees in this role have access to hybrid work schedules that combine office-based collaboration with remote work from home. The extent of remote work eligibility may depend on your specific position, security requirements, and supervisor approval. We encourage you to discuss flexible work options during the hiring process or after appointment. DND is committed to supporting work-life balance while ensuring operational effectiveness and team collaboration on AI research initiatives.
Related Careers
No related military careers on file for this position.
