Artificial Intelligence and Data Analytics Instructor in Red Deer

Faculty at Red Deer Polytechnic are passionate about teaching, learning, and student success. They pursue professional learning to continually enhance their practice and their discipline, and are recognized for their contributions to both local and global communities.

As Red Deer Polytechnic’s future takes shape, our institution has high expectations of our amazing faculty. We recognize that new hires may not have all the skills and experience when applying, and there is flexibility to develop your talents over time. The initial focus for new faculty will be on teaching and student success with opportunities for professional development, growth, and collaboration.

Red Deer Polytechnic (RDP) is committed to all faculty acquiring the identified Key Attributes over time:

• Teaching: The faculty member combines discipline expertise with evidence-based teaching to facilitate effective and varied learning experiences.
• Student Success: The faculty member encourages student success in an engaging, supportive environment by being responsive to student needs and ideas.
• Professional Development: The faculty member engages in the continuous pursuit of knowledge to maintain currency in their discipline and their teaching practice.
• Research, Scholarly and Creative Pursuits: The faculty member has the opportunity to pursue impactful scholarly and creative activities and disseminates knowledge that advances the discipline, enhances the reputation of Red Deer Polytechnic, and improves communities.
• Community Contributions: The faculty member values engagement, contributing knowledge and their own expertise to the betterment of Red Deer Polytechnic and local communities, as well as discipline-based, national, and global communities.

The School of Trades and Technology is seeking Part-Time Instructor(s) to teach various courses in Artificial Intelligence and Data Analytics programming for Winter 2027. Course topics may include Machine Learning Algorithms, Exploratory Data Analysis, Internet of Things, Machine Learning Deployment, and Emerging Techniques in ML and AI.

Responsibilities of Part-Time Faculty at the School of Trades and Technology include (but are not limited to):

• Delivering courses congruent with established course curricula and program outcomes.
• Supporting the success of students with diverse cultural and educational backgrounds and learning styles.
• Assessing student learning in ways that both facilitate learning and ensure achievement against appropriate academic standards.
• Inspiring students by exhibiting enthusiasm for teaching, learning, and subject material.
• Working collegially within department, School, or Institution committees and project teams.

Red Deer Polytechnic’s School of Trades and Technology is a multidisciplinary school committed to innovation, applied learning, and student success across a broad spectrum of programs. Our Science and Computing programs are rapidly growing, offering certificates, diplomas, university transfer options, and collaborative degrees that prepare students for careers in research, industry, health, and technology.

Required Qualifications:

• Master’s degree with a focus on Artificial Intelligence and Data Analytics or a closely related discipline.

Preferred Qualifications:

• Post-secondary teaching experience.
• Work experience in the field of AI.
• PhD in a closely related discipline.

Salary: Commensurate with education and teaching experience at the post-secondary level.

Desired Contract Date: December 16, 2026 – April 30, 2027.

Benefits and Compensation Information: Part-time instructors receive an additional 14% of the gross salary in lieu of benefits and vacation pay.

Red Deer Polytechnic fosters an inclusive learning and working environment where everyone can bring their full selves and share their unique talents. We are committed to being responsive to the evolving needs and expectations of our diverse community.

Note to Applicant: The position is open until filled, the first review of applications will be October 17, 2026.