AI-Enabled Educational Web Application Developer

MIT • Cambridge, MA

15h • Hybrid

About The Position

The AI-Enabled Educational Web Application Developer will work in Comparative Media Studies/Writing in the Scheller Teacher Education Program (STEP) to design and develop AI-powered tools that support collaborative learning for K–12 students and teachers. The 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. Its core responsibility is developing artificial intelligence applications in support of design-based research. The developer will also contribute to writing articles and reports for scholarly and practitioner communities.

This is a one-year temporary appointment with the possibility of renewal. Renewal depends on continued funding, ongoing project and operational needs, and satisfactory performance. Occasional domestic U.S. travel is required. Hybrid work is preferred, and remote candidates will be considered. Applicants must have prior U.S. work authorization; visa sponsorship is not available.

Requirements

• Bachelor’s degree 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, and web frameworks utilizing Python and HTML5.
• Interest in advancing excellence in education through improving classroom learning.
• Strong communication skills.
• Ability to work independently and contribute to an interdisciplinary team.
• Prior U.S. work authorization; visa sponsorship is not available.

Nice To Haves

• 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 U.S. and abroad.
• Willingness to mentor undergraduate student interns.
• Experience as an educator in formal or informal learning environments.
• A joyful/playful approach to designing learning experiences and the ability to adapt effectively within a dynamic project.

Responsibilities

• Design and develop AI-powered tools supporting collaborative learning for K–12 students and teachers.
• Create systems that surface and share educational insights from user data to support educator and learner reflection and curricular planning, including identifying opportunities for intervention.
• Develop artificial intelligence applications in support of design-based research.
• Contribute to writing articles and reports for scholarly and practitioner communities.

What This Job Offers

• Job Type: Full-time