AI-ENABLED EDUCATIONAL WEB APPLICATION DEVELOPER

AI-ENABLED EDUCATIONAL WEB APPLICATION DEVELOPER, Comparative Media Studies/Writing in the Scheller Teacher Education Program (STEP), will work to design and develop AI-powered tools supporting collaborative learning for K-12 students and teachers. This role focuses on creating systems that surface and share educational insights from user data to support educator and learner reflection, and curricular planning including identifying opportunities for intervention. This role’s core responsibility is developing artificial intelligence applications in support of design-based research. This role will also contribute to writing articles/reports for scholarly and practitioner communities.

REQUIRED: Bachelor’s or equivalent work experience in computer science/software development with an emphasis on human-computer interaction, generative AI, or related areas; demonstrated experience designing and building technology tools, with emphasis on using LLMs to support software development, UI/UX, HCI, web frameworks utilizing Python/HTML5; interest in advancing excellence in education through improving classroom learning; strong communication skills, and ability to work independently and contribute to an interdisciplinary team. PREFERRED: Experience with AI system engineering techniques; experience with conversational analysis such as NLP and/or developing voice-based agents; experience with mobile optimization and mobile app development; knowledge of legal regulations regarding personally identifiable data within the US and abroad; willingness to mentor undergraduate student interns; experience as an educator in formal or informal learning environments; and joyful/playful approach to design of learning experiences, and the ability to adapt effectively within a dynamic project.

This is a one-year temporary appointment with the possibility of renewal. Renewal is contingent upon continued funding, ongoing project and operational needs, and satisfactory performance.

Occasional domestic US travel is required.

Hybrid preferred. Remote candidates considered.

Applicants must have prior U.S. work authorization as we are not able to sponsor visas for this position.

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