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

Support faculty and project teams in understanding teaching and learning needs, and contribute to the development of AI-enabled educational solutions.

Support the design, development, testing, and refinement of AI-powered learning experiences, including role-play simulations, AI tutors, coaching chatbots, virtual patients, interview simulations, intelligent feedback systems, and other interactive learning applications.

Contribute to the development and continuous improvement of AI-enabled educational platforms and digital learning tools through prompt design, workflow configuration, testing, and quality assurance.

Assist in developing and refining prompts, agent workflows, and evaluation rubrics to improve the quality, consistency, and educational effectiveness of AI interactions.

Support literature reviews, user research, pilot studies, surveys, interviews, and usability testing to evaluate learner engagement, user experience, and educational effectiveness.

Assist in analysing qualitative and quantitative data to identify trends, evaluate AI-enabled learning interventions, and support iterative improvements to learning experiences.

Collaborate with software engineers, designers, and academic stakeholders to translate educational requirements into functional AI solutions and support product testing and refinement.

Assist in the preparation and delivery of workshops, demonstrations, consultations, and project documentation that promote the effective use of AI in teaching and learning.

Keep abreast of developments in generative AI and educational technology, contributing ideas to enhance AI-enabled teaching and learning.

• Bachelor's degree from a recognised university.
• Good understanding of large language models (LLMs) and generative AI, including their capabilities, limitations, and practical applications.
• Relevant experience in generative AI, educational technology, research, learning design, product development, or related areas through coursework, projects, internships, research, or professional work is advantageous.
• Good written and spoken communication skills in English.
• Strong analytical, interpersonal, organisational, and time management skills, with the ability to collaborate effectively across multidisciplinary teams.
• Ability to learn new technologies quickly, think critically, and apply them to solve educational challenges.

Only shortlisted candidates will be notified.