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

Job Details
San Diego, United States of America
yesterday

Role details

Contract type
Temporary contract
Employment type
Part-time (≤ 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Intermediate
Compensation
$ 92K

Job location

Remote
San Diego, United States of America

Tech stack

Java
Artificial Intelligence
Amazon Web Services (AWS)
Azure
Big Data
Business Software
Cloud Computing
Computer Programming
Learning Management Systems
Data Cleansing
Data Structures
R
Python
Machine Learning
TensorFlow
Software Engineering
Cloud Platform System
PyTorch
Deep Learning
Information Technology
Data Management
Programming Languages

Job description

  • Teaching: Delivering course content, assessing student progress through formal and informal assessments, holding office hours, meeting deadlines for submitting grades and attendance, and adhering to safety procedures and departmental standards.
  • Development: Collaborating with the Learning Design Team to create and develop courses in our learning management system, ensuring timely delivery of course materials.

Work Mode: Entirely remote

Work Schedule: Online as needed

Background check: Successful completion of a pre-employment background check.

Degree Verification Requirement: Persons offered employment in this position will be required to provide official education transcripts for degree verification purposes., National average Part time Jobs average California average

Requirements

  • 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., * 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.

Eligibility:

  • Applicants must be currently authorized to work in the U.S. on a full-time basis. Employment-based visa sponsorship (including H-1B sponsorship) is not available for this position.

Benefits & conditions

$40-44/hour

The salary range provided in this posting reflects what we reasonably expect to pay for this position. Actual compensation offered or earned is dependent on experience, education and other factors including departmental budget. Special Application Instructions

About the company

The University of San Diego, an engaged and contemporary Catholic institution, was founded by the Diocese of San Diego and the Society of the Sacred Heart in 1949. Governed by an independent board of trustees since 1972, USD remains committed to a liberal arts education grounded in the Catholic intellectual tradition and the pursuit of truth, goodness and beauty. Inspired by this centuries old tradition of Catholic higher education, the University welcomes people of all faith traditions and any, or no, religious background. The future success of USD relies on the contributions of those who seek to foster the development of engaged global citizens and an earnest confrontation of humanity's urgent challenges., The University of San Diego is a smoking and tobacco-free campus. For more information, visit www.sandiego.edu/smokefree.

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