The adjunct professors will teach master-level or undergraduate-level courses. The minimum requirements are Master’s degree in relevant fields and at least 4 years of working experience. The courses include the following:
AI Computer Vision (computer vision and robotics like OpenVLA, end to end vision action model, world model with physical properties)
Position Summary
The adjunct professors will teach master-level or undergraduate-level courses. We are seeking an Adjunct Professor of AI Computer Vision to teach dynamic and practical courses designed to prepare students for the rapid advancement of AI technology. This course cover computer vision and robotics like OpenVLA, end to end vision action model, world model with physical properties, etc. The ideal candidate will be passionate about teaching and skilled at blending theoretical knowledge with practical applications.
Key Responsibilities
Deliver engaging courses on AI Computer Vision, from fundamental, applications and advance developments. .Cover topics such as computer vision and robotics like OpenVLA, end to end vision action model, world model with physical properties, etc. Integrate real-world examples and industry trends to keep course content relevant and engaging.
Qualifications Minimum Requirements:
Have a Master and above degrees in computer system and engineering, data science, or a related field.4+ years of industrial working experience in related field. Passion for teaching. Eligible to work in the US. Local in Silicon Valley. Clear communication in classroom and online teaching.
Preferred Qualifications:
Experience mentoring diverse student populations.
Skills and Competencies
Expertise in AI and computer vision. Ability to deliver an engaging and practical learning experience, blending theory and hands-on activities. Strong organizational and evaluative skills for managing coursework and providing actionable feedback. Dedication to fostering an inclusive and empowering learning environment.
Job Type: Part-time
Pay: $100.00 - $125.00 per hour

Schedule:

• Monday to Friday
• Weekends as needed

Work Location: In perso

Please refer the Job description for details