INTERNSHIP DETAILS

Video Analytics Intern, Properties & Facilities Management

CompanyPublic Service Division
LocationSingapore
Work ModeOn Site
PostedNovember 11, 2026
Internship Information
Core Responsibilities
The intern will design and develop training datasets, annotation guidelines, and SOPs for a video analytics algorithm. They will also assist in the iterative training, testing, and performance review of the algorithm to enhance the system development pipeline.
Internship Type
full time
Company Size
4592
Visa Sponsorship
No
Language
English
Working Hours
40 hours
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About The Company
The Government Technology Agency of Singapore (GovTech) is the lead agency driving Singapore's Smart Nation initiative and public sector digital transformation. We harness the power of technology to make lives better for citizens, businesses, international audiences and the public service sector. Our mission: Engineering Digital Government, Making Lives Better. Our goal is to create a government that is "Digital to the Core, and Serves with Heart". We achieve this by using technology to create services that are easy, seamless and secure for people to use, and placing the needs of citizens and businesses at the centre of everything we do. As a digital government, our public officers are also able to continually upskill, adapt to new challenges and work more effectively across agencies as well as with citizens and businesses in Singapore.
About the Role

[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.
  • Strong command in English
  • Meticulous in work
  • Basic understanding of machine learning and computer vision concept
  • Familiarity with video analytics or image processing principles is preferred

Duration: 6-9 months

Key Skills
Data analyticsData scienceStatisticsMachine learningComputer visionVideo analyticsImage processingAnnotationTechnical writingQuality controlAlgorithm trainingWorkflow documentation
Categories
Data & AnalyticsTechnologyGovernment & Public SectorSoftwareSecurity & Safety
Benefits
Flexible work environmentHybrid work environmentProfessional developmentSupportive environment