AI Online Course Development Assistant - College of Engineering - CMU Rwanda

Carnegie Mellon University is a private, global research university that stands among the world’s most renowned education institutions. With ground-breaking brain science, path-breaking performances, creative start-ups, big data, big ambitions, hands-on learning, and a whole lot of robots, CMU doesn’t imagine the future, we invent it. If you’re passionate about joining a community that challenges the curious to deliver work that matters, your journey starts here!

Since its founding in 1900, Carnegie Mellon University (CMU) has been a birthplace of innovation. CMU has globally top-ranked programs in engineering, computer science, and information and communication technology, as well as a rich history of entrepreneurship. CMU is dedicated to producing creative and technically strong engineers who have a meaningful impact in their communities and accelerate positive technological change in the world. In 2011, CMU extended its global footprint into Africa with Carnegie Mellon University Africa (CMU-Africa), based in Rwanda’s Kigali Innovation City.
 

In a region booming with opportunities, CMU is the only U.S.-based research university offering its master’s degrees with a full-time faculty, staff, and operations in Africa. The Africa location is fast-growing, with over 300 enrolled students from more than 20 African countries. You can read more about CMU-Africa's vision and mission on our website. CMU’s presence in Rwanda provides a platform to engage in Africa’s most significant opportunities and challenges across the continent through world-class education and contextually relevant research and innovation. CMU-Africa enjoys strong collaboration and exchange with the main campus in Pittsburgh, USA.

Carnegie Mellon University Africa (CMU-Africa) is seeking a passionate, highly motivated professional to serve as AI Online Course Development Assistant for a fixed term duration in Kigali, Rwanda. This position will support three subject matter experts (SMEs) in designing and developing online courses in Machine Learning and Generative AI. The successful candidate will also serve as a liaison between the course developers and a professional course development team responsible for implementing the courses in Canvas. This role is ideal for a recent graduate with a master’s degree in artificial intelligence or a related field, and hands-on experience with machine learning tools. Experience building generative AI applications is desirable. This is a fixed-term, full-time position in Kigali, Rwanda.

Core Responsibilities:

• Collaborate with subject matter experts to develop engaging and interactive online courses on Machine Learning and Generative AI.
• Function as the primary liaison between the professors developing course content and the professional course development team implementing the courses in Canvas.
• Assist in designing course materials, including lecture content, assignments, and assessments.
• Work with machine learning tools and frameworks to create practical demonstrations and real-world case studies.
• Develop course examples, projects, and problem-solving exercises for the generative AI course.
• Ensure that course content aligns with best practices in AI education and industry trends.
• Provide technical support and feedback to both the course developers and the course implementation team.

Adaptability, excellence, and passion are vital qualities within Carnegie Mellon University. We are in search of a team member who can effectively interact with a varied population of internal and external partners at a high level of integrity. We are looking for someone who shares our values and who will support the mission of the university through their work.

Qualifications:

• Master’s degree in Artificial Intelligence, Machine Learning, Data Science, or a related field.
• Strong experience with machine learning tools and frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
• Practical experience using generative AI (e.g., GANs, Transformers, LLMs) to solve real- world problems.
• Experience with practical applications of AI in Africa is a plus
• A combination of education and relevant experience from which comparable knowledge is demonstrated may be considered

Skills and Competences:

• Familiarity with Canvas or similar online learning management system (LMS) is advantageous.
• Proficient programming skills in Python, with extensive experience in AI/ML libraries.
• Strong foundation in the mathematical principles underpinning machine learning and its applications.
• Demonstrated practical experience in utilizing Python and related libraries to address machine learning challenges.
• Excellent communication and coordination skills to effectively bridge academia and course development teams.
• Demonstrated ability to work autonomously and adhere to deadlines
• Must be based in Kigali, Rwanda.

Joining the CMU team opens the door to an array of exceptional benefits.

Benefits eligible employees enjoy a wide array of benefits including comprehensive medical, prescription, dental, and vision insurance as well as a generous retirement savings program with employer contributions. Unlock your potential with tuition benefits, take well-deserved breaks with ample paid time off and observed holidays, and rest easy with life and accidental death and disability insurance. 

Additional perks include a free Pittsburgh Regional Transit bus pass, access to our Family Concierge Team to help navigate childcare needs, fitness center access, and much more!

For a comprehensive overview of the benefits available, explore our Benefits page.

At Carnegie Mellon, we value the whole package when extending offers of employment. Beyond credentials, we evaluate the role and responsibilities, your valuable work experience, and the knowledge gained through education and training. We appreciate your unique skills and the perspective you bring. Your journey with us is about more than just a job; it’s about finding the perfect fit for your professional growth and personal aspirations.

Are you interested in an exciting opportunity with an exceptional organization?! Apply today!

Location

Kigali, Rwanda

Job Function

Eberly Center

Position Type

Staff – Fixed Term (Fixed Term)

Full Time/Part time

Full time

Pay Basis

More Information: 

• Please visit “Why Carnegie Mellon” to learn more about becoming part of an institution inspiring innovations that change the world. 

• Click here to view a listing of employee benefits

• Carnegie Mellon University is an Equal Opportunity Employer/Disability/Veteran. 

• Statement of Assurance