Instructor, Data Analytics & Integrated AI

Technology is embedded in SAIT’s identity. At the School for Advanced Digital Technology (SADT), we’re preparing students to meet the demand for innovative tech professionals. Join a group of experts focused on future-forward thinking and take your place in the tech revolution.

Job classification
: S4001 - Instructor

# of positions
: 3

Hourly Rate
: $42.95 - $49.77

Position End Date
:
August 31, 2026

Final date to receive applications
: 4:00PM, February 2, 2026

At the Southern Alberta Institute of Technology (SAIT), we are the shapers. The makers. The originals, driven by a passion for excellence and impact. We offer action-based learning, solution-focused research, and enterprising collaborations with partners from around the world. We are a global leader in applied education, an Alberta Top Employer and a destination workplace for people empowered to make a difference in the lives of students.

Now is an exciting time to join this one-of-a-kind place…SAIT.

Reporting to the Academic Chair, the Instructor will professionally manage the learning process of the students and ensure that students achieve established learning objectives to the maximum of their potential. This requires resourcing materials, methods, techniques, and strategies to ensure student success and outcomes are met. This role requires collaborative work with colleagues to create a learning environment which is pedagogically sound, technically supported, and innovative in nature.

The position may teach in either the Data Analytics or Integrated Artificial Intelligence post-diploma certificate programs.

• Prepare and present lessons, assignments, quizzes, exams, activities, tutorials, demonstrations and labs for learners
• Present material in an engaging and interactive way
• Inclusion of past industry experiences into lesson planning and delivery
• Maintain records for the purpose of grading, assess professionalism and track attendance in both theory and lab classes
• Organized and concise record keeping and file management
• Manage the classroom or lab to ensure a positive learning environment
• Show personal interest in the learner and create a climate conducive to optimal learning
• Mentorship, guidance, relatability
• Attend and contribute to Team meetings and continuous collaboration with Academic Chair and other instructional staff to provide the highest degree of learner experience

• Education & Experience
• Required:
  
  Bachelor’s degree, in-field
• Required:
  
  3-5 years in industry, working in an intermediate to senior data science and/or AI related roles
• Required:
  
  1-3 years’ experience teaching, training, coaching, or mentoring
• Preferred: industry certifications, e.g. Microsoft, Tableau, AWS Quick Sight, IBM, Google, etc
• Technical Expertise in three or more of the following competencies
• AI & Machine Learning:
  Proficiency in ML algorithms, deep learning architectures, NLP, computer vision, and model evaluation
• Programming & Tools:
  Strong skills in Python/R and modern libraries (e.g., Tensor Flow, PyTorch, Scikit-learn), plus experience with Jupyter, Git, and OpenAI/Hugging Face tools
• Data Analysis and Handling:
  Expertise in data preprocessing, analysis, visualization, and working with large datasets using SQL and data science tools
• Applied AI & Deployment:
  Ability to design, train, and deploy AI models using cloud platforms (AWS, Azure, GCP) and integrate into real-world systems
• AI Ethics & Responsible Use:
  Solid understanding of fairness, bias, transparency, and ethical considerations in AI applications
• Instructional Skills Required
• Instructional Delivery:
  Clear communication of complex topics in an engaging and understandable way
• Assessment Design:
  Creating assessments and rubrics that fairly evaluate student learning
• Mentorship & Advising:
  Providing guidance to students on projects, careers, and research
• Human Skills Required
• Collaboration:
  
  Working effectively with colleagues in interdisciplinary departments.
• Critical Thinking:
  Encouraging and demonstrating analytical problem-solving skills in and out of the classroom
• Organization & Time Management:
  Ability to balance and organize teaching, office hours, grading, prep-work and…