Job description

Job Title: AI Tools Exploration Intern

Job Type: Internship (Full time)

Location: Remote

Role: Step into the future of educational technology with IIMBx Digital Learning Foundation as an AI Tools Exploration Intern. In this role, you will scout, test, and integrate cutting-edge AI solutions that enhance content creation, learner engagement, and internal operations. If you love experimenting with the latest AI products and translating insights into practical process improvements, this internship offers the perfect sandbox to sharpen your skills and make a tangible impact.

Key Responsibilities:

• • Research emerging AI tools: Track innovations in generative AI, automation, video/audio processing, and learning analytics.
  • Evaluate feasibility & ROI: Create comparison matrices covering functionality, cost, implementation effort, and potential value.
  • Prototype integrations: Work with no-code or low-code platforms (e.g., Zapier, Make) to embed AI tools into existing workflows (transcription, summarization, avatar video, automated feedback, etc.).
  • Document outcomes: Record test cases, user guides, limitations, and recommendations for wider adoption.
    

Qualifications:

• • A bachelor’s degree in Computer Science, Data Science, Instructional Design, or a related field.
  • Curiosity about AI/ML trends and hands-on exposure to tools such as ChatGPT, Claude, Descript, Synthesia, Notion AI, or similar.
  • Familiarity with workflow-automation or no-code platforms is a plus.
  • Strong analytical mindset and ability to compare technical capabilities against business needs.
  • Clear written and verbal communication skills for documenting findings and training users.
    
  • Bonus: Experience with prompt engineering, LLM APIs, or small proof-of-concept AI projects.

 What We Offer:

• • Hands-on experience bringing AI into live educational workflows.
  • Mentorship from ed-tech strategists and AI practitioners.
  • A portfolio of completed AI integration projects.
  • Remote, flexible work schedule and networking opportunities within the digital learning community.

How to Apply:
Please submit your resume and a cover letter explaining your interest in AI tools and any relevant projects or coursework.