Part-Time Faculty - Computer Information Tech Artificial Intelligence (South)
San Jacinto College · Houston, TX · 6 mo ago
Information TechnologyPart-time
About the role
Teaching Computer Information Technology Artificial Intelligence related coursework.
Responsibilities
- Develop syllabi and materials, including laboratory activities, aligned with state, college, and departmental standards.
- Participate in the design of course content and materials that cover emerging trends in artificial intelligence, information technology, and cybersecurity.
Requirements
- Bachelor’s degree in Artificial Intelligence, Computer Science, Data Science, Information Technology, or a closely related discipline.
- 3 years of full-time work experience in AI, machine learning, data analytics, or related fields.
- Practical experience with AI tools and frameworks (e.g., Python, TensorFlow, PyTorch).
- Familiarity with data governance, compliance standards, and AI ethics.
Qualifications
- Master’s degree in AI or related field preferred.
- College-level teaching experience preferred.
- Five or more years of professional experience in AI or related domains preferred.
- Experience in deploying AI solutions in organizational settings preferred.
- AI/ML-related certifications (e.g., TensorFlow Developer, AWS Certified Machine Learning Specialty) preferred.
- Data governance or compliance certifications preferred.
Skills
- Expertise in AI, machine learning, data analytics, or related fields.
- Ability to develop and deliver effective course materials and laboratory activities.
- Knowledge of emerging trends in artificial intelligence, information technology, and cybersecurity.
Benefits
- Flexible scheduling options, including evening and weekend classes.
- Opportunity to teach courses using various delivery methods based on student and college needs.
- Assignment to teach courses at the assigned on-site work location.
Pay
Salary Grade: AH
Salary is based on the Board-approved salary schedule for the current fiscal year. See Salary Schedule
Schedule
Positions are hired on an "as needed" basis and will work for the duration of time specified by the respective course.