Instructor / Teaching Assistant, Data Literacy Programme

Job Description

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Instructor / Teaching Assistant, Data Literacy Programme

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Job Title: Instructor / Teaching Assistant, Data Literacy Programme

University-Level Unit: Office of the President

Faculty/Department-Level Unit: Data Literacy Program

Employee Category: Other Teaching Staff

Location_ONB: Kent Ridge Campus

Posting Start Date: 19/06/2026

Job Description

Join Us as an Instructor or Teaching Assistant at the National University of Singapore (NUS)

Are you passionate about data science, machine learning, and artificial intelligence? Do you enjoy teaching and empowering others with valuable technical skills? If so, we invite you to become a part of the Data Literacy Programme (DLP) team at the National University of Singapore (NUS)!

About the Data Literacy Programme (DLP)

The DLP is designed to equip NUS administrative employees and participants from external organizations with critical skills in data analytics, machine learning and artificial intelligence. This is your chance to help shape the future of work and make a meaningful impact by empowering others with these future-ready skills.

Position Details

We are looking for highly motivated Instructors and Teaching Assistants to join our dynamic team. This is a full-time role, with a minimum two-year commitment, where you’ll play a key role in delivering a memorable learning experience for our participants.

What You’ll Do

As an Instructor or Teaching Assistant, you will:

Develop engaging teaching materials to simplify complex AI and data science concepts.

Create interactive eLearning videos that make learning accessible to a broader audience.

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?

By joining NUS as an Instructor or Teaching Assistant in the DLP team, you’ll be part of an esteemed university with a vibrant academic community. You’ll have the chance to:

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 who are as passionate about technology and education as you are.

Qualifications

What We’re Looking For

You are the ideal candidate if you have:

A Bachelor’s or Master’s degree in data science, machine learning, artificial intelligence, statistics, mathematics, computer science, or a related field (other qualifications may be considered on a case-by-case basis).

A passion for teaching—whether you have formal teaching experience or not, we value your enthusiasm and ability to communicate complex information clearly.

The ability to work well within a team and manage groups of eager learners

Skills and Attributes That Set You Apart

We are especially excited to hear from candidates with:

A background in Artificial Intelligence (AI)—this will give you an edge in the role.

A solid understanding of Machine Learning and a knack for interpreting and communicating numerical data.

Work Experience – Industry work experience in cutting-edge AI projects.

Proficiency in Python/R Programming and Data Visualization Techniques.

An interest in engaging with adult learners and teaching across various disciplines.

A proactive and reflective approach to teaching practices, always striving to improve.

Position Benefits

Professional growth opportunities in a leading global university.

The satisfaction of contributing to a programme that is 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:

A Cover Letter outlining your experience and motivation for the role.

Your Curriculum Vitae (CV) detailing your qualifications and experience.

Academic Transcripts

If available, evidence of effective teaching (e.g., student feedback).

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 Program

Employee Referral Eligible: No

Job requisition ID : 31208

Req ID: 31208

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