AI-Enabled Educational Web Application Developer

TrulyHired; Cambridge (MA); Hybrid; USD 79,000 - 106,000; Full time

Job summary

MIT's Comparative Media Studies/Writing invites applications for an AI-Enabled Educational Web Application Developer. The role focuses on designing and building AI-powered tools to support collaborative learning for K-12 students and teachers, surfacing insights from user data to aid reflection and curricular planning.

The position emphasizes AP development using LLMs, UI/UX, and web frameworks with Python/HTML5.

Qualifications

• Bachelor's or equivalent work exp in CS with emphasis on HCI, generative AI, or related areas.
• Experience designing and building technology tools using LLMs to support software development, UI/UX, HCI, web frameworks.

Responsibilities

• Develop AI-powered educational tools for K-12 students and teachers.
• Design systems that surface and share educational insights from user data for reflection and planning.
• Contribute to scholarly articles and practitioner reports.

Skills

HCI

Generative AI

LLMs

UI/UX

Communication

Education

Bachelor's degree in CS

Tools

Python

HTML5

Job description

AI-Enabled Educational Web Application Developer Full Description

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.

Job Requirements

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.

Position Details

• Job Number: 26188
• Functional Area: Educational Technology
• Department: Comparative Media Studies/Writing
• School Area: Humanities, Arts, & Social Sciences
• Pay Range: $79,050 - $106,420
• Employment Type: Full-time Temporary (Hybrid)
• Employment Category: Exempt
• Visa Sponsorship Available: No
• Pay Grade: 8

MIT provides pay ranges representing its good faith estimate of what the Institute reasonably expects to pay for a full time position at the time of posting (if you are applying for a part time salaried job, you will need to prorate the posted pay range). The pay offered to a selected candidate during hiring will be based on factors such as (but not limited to) the scope and responsibilities of the position, the candidate's work experience and education/training, internal peer equity, and applicable legal requirements. This pay range represents base pay only and does not include any other benefits or compensation.