Video Analytics Intern, Properties & Facilities Management

Sggovterp Open · verified Sep 21, 2026

NLB National Library Building Full-time Junior Video Production

At a glance

Entry-level Video Production role at Sggovterp. NLB National Library Building · full-time.

Pay not stated Video Production salary

RoleVideo Production

SeniorityJunior

LocationNLB National Library Building

EmploymentFull-time

PostedSep 15, 2026 · 6d ago

Role brief

Growth Roles summary, based on the employer's posting.

What you'll do

Create datasets, labeling rules, edge-case guidance, and quality checks for algorithm training
Prepare video inputs, run model training cycles, and compare results with required benchmarks
Review algorithm results across varied settings and operating conditions
Write user instructions and technical documentation for the video analytics workflow
Assess the current pipeline from start to finish, then recommend development improvements

What you bring

You are enrolled in a course of study, with data analytics, data science, statistics, or security-related study especially relevant
You communicate confidently in English and approach detailed work carefully
You understand core machine learning and computer vision ideas
Exposure to video analysis or image-processing methods is preferred

Who this fits

This junior internship suits students from any academic discipline who want hands-on work with training data, model testing, and workflow documentation. It runs for six to nine months at the National Library Building in Singapore, within a flexible hybrid arrangement.

From the employer

[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