AI Internship Program

 Posted 8 months ago
  
 Canada
  
0-2 years experience
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Please mention DailyRemote when applying

AI Summary

Participate in a rapid software development project focused on building a functional MVP. Learn and apply key stages of the Software Development Lifecycle.

We are offering a fast-paced, 2 week graduate internship program designed for students or career changers looking to gain hands-on experience in software development and learn how AI is reshaping the development lifecycle. This is a practical, sprint-style graduate program where you'll work through the full SDLC—from ideation to delivery—on a micro-project designed to simulate real-world experience.

What You’ll Gain:

  • Practical, portfolio-ready experience across the full SDLC
  • Exposure to AI tools in software development
  • Build out an MVP In 2 weeks
  • A certificate of completion and personalised feedback
  • Optional: Letter of recommendation (based on performance)

Time Commitment:

  • Duration: 2 weeks
  • Estimated Time: 15 hours per week
  • Flexible hours, with suggested milestones provided

Compensation:

  • This is an unpaid graduated program designed for rapid learning and portfolio-building. The experience is educational and intended to provide a springboard for people willing to learn.

Tasks

What You’ll Do:

  • Participate in a rapid software development project, focused on building a functional MVP (Minimum Viable Product)
  • Learn and apply key stages of the Software Development Lifecycle:
  • Requirements gathering
  • Solution design
  • Development
  • Testing
  • Deployment
  • Feedback & iteration
  • Use AI-assisted tools (e.g. GitHub Copilot, ChatGPT, or similar) to speed up ideation, coding, and documentation
  • Collaborate in a simulated team environment using version control (Git), task boards, and daily check-ins
  • Present your project outcomes, along with a short write-up of what you learned from each phase of the SDLC

Requirements

Ideal For:

  • Students in computer science or related fields
  • Career changers exploring software development
  • Self-learners seeking structured experience to build a portfolio
  • Individuals curious about integrating AI into software workflows

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