Gig: AI Game Concept Project
UNC Charlotte Gig Training Program
Gig
Closes on Friday, January 10, 2025
Job Description
Role Type: Gig
Timeframe: Student placements will begin on Monday, February 10th (02/10/2025) and end on Friday April, 4th (04/04/2025)
Hours: 40 hours total
In-person, Hybrid or Remote: Remote
Organization: Maker Mindz
Project Scope:
We’re building an exciting, highly interactive mobile game that teaches middle and high school students the fundamentals of artificial intelligence and machine learning. We are seeking a talented AI Advisor/Consultant to guide the development process and ensure that AI fundamentals are effectively integrated into our game design.
• Provide advice on incorporating AI concepts and technologies into mobile game design.
• Collaborate with game designers and developers to implement AI-driven features and mechanics.
• Assist in brainstorming and prototyping AI-related educational games, ensuring alignment with learning goals.
• Ensure that AI algorithms and models used in games are accurate, efficient, and suitable for the target audience. Our target audience is middle and high school students.
• Offer guidance on game AI components, such as adaptive learning, procedural content generation, and AI-driven decision-making.
• Review and provide feedback on AI game concepts, ensuring feasibility and optimization.
Preferred Student Demographic:
Computer Science student with coursework or work/project experience in Artificial Intelligence & Machine Learning
Hours required for completion: 40 hours or allowed hours per the Gig-Training program
Describe how the student will benefit from participation (learning experience):
This project will engage students in critical thinking and design challenges, encouraging them to articulate their thoughts and ideas effectively. The goal is to empower students to contribute meaningfully to the creation
of a game tailored for middle and high school audiences.
Outline the expected outcomes:
Provide expertise in artificial intelligence and machine learning, particularly in the context of game development.