Part-time Adjunct Faculty/Developer for Artificial Intelligence Coding and Programming

Details-posted 6 days ago
$40 - $44/Yr
Part-time • Mid Level
Remote • San Diego, CA
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The University of San Diego's Professional and Continuing Education department is seeking an adjunct faculty member with mastery in the application of artificial intelligence for coding and programming for business solutions. This role involves teaching and developing online courses as part of our Artificial Intelligence for Business Solutions program. The program includes twelve courses, each worth 1 unit. Courses are delivered in an online, self-paced format, with students having six months to complete each four-week course.

  • Delivering course content
  • Assessing student progress through formal and informal assessments
  • Holding office hours
  • Meeting deadlines for submitting grades and attendance
  • Adhering to safety procedures and departmental standards
  • Collaborating with the Learning Design Team to create and develop courses in our learning management system
  • Ensuring timely delivery of course materials
  • Proficiency in programming languages such as Python, Java, and R.
  • Expertise in machine learning algorithms and data structures.
  • Experience with AI frameworks and libraries (e.g., TensorFlow, PyTorch).
  • Ability to develop and implement AI models for business applications.
  • Knowledge of cloud computing platforms (e.g., AWS, Azure) for deploying AI solutions.
  • Strong analytical and problem-solving skills.
  • Familiarity with data preprocessing and visualization techniques.
  • Understanding of ethical considerations in AI and data privacy.
  • Bachelor’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field (e.g., Mathematics with a focus on algorithms, data structures, and programming languages such as Python, Java, and R).
  • Working knowledge of generative AI techniques.
  • Minimum of two years of full-time professional experience in AI, coding, and programming.
  • Applicants must be currently authorized to work in the U.S. on a full-time basis.
  • Persons offered employment in this position will be required to provide official education transcripts for degree verification purposes.
  • Successful completion of a pre-employment background check.
  • Experience in Machine Learning, Deep Learning, Data Science, Business Intelligence, Research Science, Big Data, Software Engineering, Data Management, and Analysis.
  • Cloud computing experience.
  • Familiarity with the Canvas learning management system.
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