Video Analytics Intern, Properties & Facilities Management

Sggovterp is hiring a Video Analytics Intern, Properties & Facilities Management in NLB National Library Building (hybrid). Posted November 11, 2026. Applications close November 25, 2026. Checked against the employer's posting on November 12, 2026.

[What the role is] The National Library Board (NLB) nurtures Readers for Life, Learning Communities and a Knowledgeable Nation by promoting reading, learning and history through our network of 28 libraries across Singapore, the National Library and the National Archives of Singapore.

At NLB, you can look forward to a flexible, hybrid work environment with rewarding, impactful deliverables that improve the lives of the community. With caring colleagues, you will be in an ideal environment for professional development, innovation and impact.

We can offer you: • A chance to Impact the Community, bridge gaps and empower everyone with the opportunity for learning and discovery. • An opportunity to Innovate and Push Boundaries.

We value ideas, curiosity and a passion for innovation to transform our libraries and archives. • An organisation that Ignites your Growth and Wellbeing through investment in staff development and wellbeing in a supportive and collaborative environment.

[What you will be working on] • Design and develop training datasets, annotation guidelines, and Standard Operating Procedures (SOPs) for the algorithm's training pipeline, including labelling standards, edge case handling, and quality control checklists • Develop user guides and technical reference materials • Assist in the iterative training and testing of the video analytics algorithm, including preparing and processing video data, running training cycles, and validating model outputs against defined performance benchmarks • Support regular performance reviews of the algorithm across different scenarios and environments • Conduct an end-to-end review of the existing video analytics workflow, documenting findings and proposing recommendations to enhance the overall system development pipeline [What we are looking for] • Open to students from all disciplines; students with a background in data analytics/data science or statistics or any related fields in security are particularly encouraged to apply.