EdTech Development Specialist, AICET, NUS (1-year Contract; Renewable)

National University of Singapore; Singapore; On-site; SGD 90,000 - 120,000; Full time

Job summary

The National University of Singapore invites applications for a role focused on leading AI-enabled educational initiatives within the School of Computing. You will partner with faculty and external organisations to design and deliver learning experiences powered by AI, from simulations to intelligent tutoring and assessment tools.

Responsibilities include user research, evaluation, and iterative improvement of AI platforms, prompts, and workflows, ensuring educational impact and responsible use

Qualifications

• Bachelor’s degree with strong pedagogical expertise from a recognised university (Master’s degree advantageous).
• Extensive experience designing, implementing, and evaluating teaching and learning initiatives, including AI-enabled educational technologies.
• Strong understanding of large language models (LLMs), prompt engineering, agent workflows, evaluation methodologies, and AI in education.
• Excellent written and spoken English communication, and ability to translate needs to AI-enabled learning solutions for diverse stakeholders.
• Strong interpersonal, project management, and organisational skills with ability to manage multiple projects.
• Intellectual curiosity and commitment to continuous learning in education and AI.

Responsibilities

• Lead planning and delivery of AI-enabled educational projects with faculty and external organisations.
• Design, develop and evaluate AI-powered learning experiences (role-play simulations, AI tutors, coaching chatbots, etc.).
• Lead design, evaluation and improvement of AI-enabled platforms and digital learning tools with engineers and designers.
• Develop prompts, agent workflows, evaluation frameworks, and AI guardrails for quality and reliability.
• Design user research, pilot studies, surveys, and interviews to evaluate usability, engagement, outcomes, and impact.
• Analyse qualitative and quantitative data to inform improvements in learning design, AI behavior, UX, and product development.
• Collaborate with software engineers, designers and academics to translate pedagogical requirements into AI solutions and iterate from feedback.
• Advise educators on integrating generative AI into teaching, learning and assessment.
• Design and facilitate workshops, demonstrations, and consultations to build educators’ confidence in AI-enabled education.
• Stay updated on AI and educational technology developments to inform institutional priorities.

Skills

Pedagogical expertise

English communication

Interpersonal skills

Project management

Curiosity and continuous learning

Education

Bachelor’s degree

Master’s degree (advantage)

Job description

Company description:

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

Job description:

Key Responsibilities

• Lead the planning and delivery of AI-enabled educational projects, partnering with faculty and external organisations to understand teaching and learning needs and co-design solutions aligned with learning outcomes.
• Design, develop and evaluate AI-powered learning experiences, including role-play simulations, AI tutors, coaching chatbots, virtual patients, interview simulations, intelligent feedback systems, and other interactive learning applications.
• Lead the design, evaluation, and continuous improvement of AI-enabled educational platforms and digital learning tools, working closely with software engineers and designers.
• Develop prompts, agent workflows, evaluation frameworks, and AI guardrails to improve the quality, consistency, reliability, and educational effectiveness of AI interactions.
• Design and lead user research, pilot studies, classroom implementations, surveys, and interviews to evaluate usability, learner engagement, learning outcomes, and educational impact.
• Analyse qualitative and quantitative data to evaluate AI-enabled learning interventions and recommend improvements to learning design, AI behaviour, user experience, and product development.
• Collaborate with software engineers, designers, and academic stakeholders to translate pedagogical requirements into functional AI solutions, iteratively refining them based on user feedback and evaluation findings.
• Advise educators on integrating generative AI into teaching, learning, and assessment, taking into account pedagogy, responsible AI use, student learning outcomes, and institutional priorities.
• Design and facilitate workshops, demonstrations, and consultations that build educators' confidence and capability in adopting AI-enabled teaching and learning solutions.
• Keep abreast of developments in AI and educational technology, applying evidence-informed practices to improve educational innovation and contribute to the Centre's strategic initiatives.

Qualifications

• Bachelor's degree from a recognised university, with strong pedagogical expertise demonstrated through formal training in education or substantial experience in schools, higher education, or other educational settings. A Master's degree in a relevant field will be an advantage.
• Substantial experience in designing, implementing, and evaluating teaching and learning initiatives, including the development of AI-enabled educational technologies such as chatbots, role-play simulations, intelligent tutoring systems, or other LLM-powered learning experiences.
• Strong understanding of large language models (LLMs), including prompt engineering, agent workflows, evaluation methodologies, and the capabilities and limitations of generative AI in educational contexts.
• Excellent written and spoken communication skills in English, with the ability to translate educational needs into effective AI-enabled learning solutions and communicate effectively with both technical and non-technical stakeholders.
• Strong interpersonal, project management, and organisational skills, with the ability to independently manage multiple projects and collaborate effectively across multidisciplinary teams.
• Intellectual curiosity and a commitment to continuous learning in education, AI, and emerging educational technologies.
• Only shortlisted candidates will be notified.

More Information

Location: Kent Ridge Campus

Organization: School of Computing

Department : Department of Computer Science