AI Curriculum Engineer (AI Talent Development)

National University of Singapore; Singapore; On-site; SGD 60,000 - 80,000; Full time

Job summary

A leading educational institution in Singapore seeks an experienced AI practitioner to lead youth talent development programs in AI. Responsibilities include overseeing program assets, developing instructional materials, and coordinating a team of experts. Ideal candidates have a strong background in AI/ML/DS and experience in project execution. This role offers opportunities to significantly influence the next generation of AI talent and improve educational outcomes.

Qualifications

• Bachelor's degree or equivalent practical experience required.
• Strongly preferred professional qualification in DDDLP or ACLP.
• Demonstrated technical proficiency in AI, ML, or data science.

Responsibilities

• Co-own the programs' roadmap and lifecycle with measurable improvements.
• Maintain 'build systems' for program assets including instructional materials.
• Create reusable templates to improve program asset consistency.

Skills

AI/ML/DS technical proficiency

Project execution

Content production workflows

Team management

Education

Bachelor's degree or equivalent

Professional qualification in DDDLP or ACLP

Tools

Git/version control

Data tooling/analytics

Job description

Company description

The National University of Singapore is the national research university of Singapore. Founded in 1905 as the Straits Settlements and Federated Malay States Government Medical School, NUS is the oldest higher education institution in Singapore

Job Description

AI Singapore (AISG) is a national AI programme launched by the National Research Foundation (NRF) to anchor deep national capabilities in Artificial Intelligence (AI).

The programme office is hosted by the National University of Singapore (NUS) and brings together all Singapore-based research institutions and the vibrant ecosystem of AI start-ups and companies developing AI products to perform use-inspired research, grow the knowledge, create the tools, and develop the talent to power Singapore's AI efforts.

We are looking for an AI practitioner with demonstrated pedagogical expertise to lead the development of institutional knowledge and technical assets of 2 youth talent development programs:

• National Olympiad in AI - to support identification and preparation of youth talents to compete and excel in international competitions.
• Introductory AI Research Course - to support talent pipelining of high ability learners in Singapore education ecosystem.

This person will form and oversee a distributed team of subject matter experts to ensure program assets are developed with sound pedagogical principles; and establish processes for continuous improvements.

Applicants are encouraged to submit portfolios or evidence of their professional experiences to support their applications.

Duties & Responsibilities

• Co-own the programs' roadmap and lifecycle with the Technical Program Manager and ensure measurable improvements in outcomes run-over-run.
• Own and maintain "build systems" for program assets, including instructional materials, content repositories, question bank database/structure, knowledge base and release notes.
• Put in place operational governance, including metrics, versioning, review gates, QA checklists, and post-run retrospectives.
• Create reusable templates and authoring standards to improve speed and consistency across program assets
• Recruit, coordinate, and manage a distributed team of subject matter experts, including onboarding, content standards, sprint planning, editorial workflow, assignments, release readiness, and refresh cycles.
• Plan and lead the annual National Olympiad in AI (NOAI) competition, ensuring fairness, academic integrity, and appropriate challenge level NOAI.
• Support the Singapore co-country coordinator for International Olympiad in AI in national selection trials.
• Support Technical Program Manager on program outreach and training.

Qualifications

• Bachelor's degree or equivalent practical experience.
• Professional qualification in DDDLP, ACLP or equivalent is strongly preferred and will be prioritized for shortlisting.
• Demonstrated technical proficiency in AI/ML/DS and able to produce and validate correct, high-quality technical learning assets (e.g., explanations, labs, assessments, solutions).
• Proven experience in developing and maintaining learning content at scale (courseware, labs, assessments, question banks), including refresh cycles and quality assurance.
• Proven experience in project execution involving translating evolving objectives into clear deliverables, timelines, and quality gates; managing dependencies and driving completion.
• Comfortable with modern content production workflows and tooling, including Git/version control, structured authoring templates, and basic data tooling/analytics to track content and learner/item performance.
• Experience in leading mixed contributor teams of academic and non-academic stakeholders is an advantage.

More Information

Location: Kent Ridge Campus

Organization: Office of the Deputy President(Res&Tech)

Department : AI Singapore

Employee Referral Eligible: No

Job requisition ID : 31656