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Full Time EdTech Development Specialist, AICET, NUS (1-year Contract Renewable) Jobs, in National University Of Singapore Central Region (Singapore) - Maukerja

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

National University Of Singapore

Full Time

Queenstown, Central Region (Singapore)

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Working Location

  • Queenstown Central Region (Singapore) Singapore

Job Description

Responsibilities

Job Title: EdTech Development Specialist, AICET, NUS (1-year Contract; Renewable)
University-Level Unit: School of Computing
Faculty/Department-Level Unit: Department of Computer Science
Employee Category: Executive & Administrative
Posting Start Date: 22/09/2026
Location_ONB: Kent Ridge Campus

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

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