Instructor / Teaching Assistant, Data Literacy Programme

National University of Singapore; Singapore; On-site; SGD 20,000 - 60,000; Full time

Job summary

A leading global university in Singapore seeks an Instructor or Teaching Assistant for its Data Literacy Programme. The role offers the opportunity to develop teaching materials, lead discussions, and engage with learners in data analytics, machine learning, and AI education. A Bachelor’s or Master’s degree in a relevant field is required, alongside a passion for teaching and solid skills in AI and data science. Candidates will enjoy professional growth opportunities and support a new generation of data-savvy professionals.

Benefits

Professional growth opportunities

Contributing to empowering future professionals

Qualifications

• A passion for teaching; formal teaching experience not required but essential communication is.
• Ability to work well in a team and manage groups of learners.

Responsibilities

• Develop engaging teaching materials to simplify complex AI and data science concepts.
• Create interactive eLearning videos for broader accessibility.
• Lead classroom discussions and hands-on sessions for engagement.
• Offer personalized consultations for learner success.

Skills

Artificial Intelligence (AI)

Machine Learning

Python/R programming

Data visualization techniques

Education

Bachelor’s or Master’s degree in a relevant field

Job description

Job Description

Join Us as an Instructor or Teaching Assistant at the National University of Singapore (NUS). The role is part of the Data Literacy Programme (DLP), which equips NUS administrative employees and external participants with critical skills in data analytics, machine learning, and artificial intelligence.

Position Details

This is a full‑time role with a minimum two‑year commitment, where you will deliver a memorable learning experience for participants.

What You’ll Do

• Develop engaging teaching materials to simplify complex AI and data science concepts.
• Create interactive eLearning videos that make learning accessible to a broader audience.
• Design innovative assessment tasks that challenge learners and deepen their understanding.
• Facilitate classroom discussions and lead hands‑on sessions to spark curiosity and encourage collaboration.
• Offer personalized consultations to help learners succeed in their educational journey.
• Supervise group projects where learners apply their new skills in practical scenarios.
• Contribute to various academic‑related services to support the smooth functioning of the programme.

Why Join Us?

• Shape the future of data literacy and AI education.
• Gain invaluable experience in developing teaching content and leading discussions in AI and machine learning.
• Collaborate with a supportive team of educators and learners passionate about technology and education.

Qualifications

• A Bachelor’s or Master’s degree in data science, machine learning, artificial intelligence, statistics, mathematics, computer science, or a related field.
• A passion for teaching—formal teaching experience is not required, but enthusiasm and clear communication are essential.
• The ability to work well within a team and manage groups of eager learners.

Skills and Attributes That Set You Apart

• Background in Artificial Intelligence (AI) gives you an edge.
• Solid understanding of Machine Learning and the ability to interpret and communicate numerical data.
• Industry work experience in cutting‑edge AI projects.
• Proficiency in Python/R programming and data visualization techniques.
• Interest in engaging with adult learners and teaching across various disciplines.
• Proactive and reflective approach to teaching practices, always striving to improve.

Position Benefits

• Professional growth opportunities in a leading global university.
• Opportunity to contribute to a programme empowering a new generation of data‑savvy professionals.

How to Apply

Ready to make an impact? Submit the following application materials by 15 January 2026:

• Cover Letter outlining your experience and motivation for the role.
• Your Curriculum Vitae (CV) detailing your qualifications and experience.
• Academic Transcripts
• Evidence of effective teaching (e.g., student feedback) if available.
• A Teaching Philosophy statement that reflects your approach to education.
• A Teaching History summary of any courses or modules taught (if applicable).
• Two reference letters (instructions for submitting these will be provided to successful candidates).

More Information

Location: Kent Ridge Campus

Organization: Office of the President

Department: Data Literacy Programme

Employee Referral Eligible: No

Job requisition ID: 31208