Course Author Position: Online Master's Degree in Artificial Intelligence (Evergreen)

DigiPen All Jobs • Redmond, WA

2d • Remote

About The Position

DigiPen Institute of Technology is seeking experienced and passionate artificial intelligence practitioners to develop and author courses for its online Master of Science in Artificial Intelligence program. Course authors collaborate with a professional Instructional Designer to create and maintain engaging, high-quality online instruction that is technically accurate, industry-relevant, and appropriate for online learning. Accepted applicants join a pool of pre-approved adjuncts; the online program hires from this pool each semester as needed. This is an ongoing posting, and the role may not align with the academic calendar. The assignment typically lasts five months from the start date, though duration varies according to progress and time of year. The position is not benefits eligible.

DigiPen is a private college located in Redmond, Washington, offering undergraduate programs in computer science, game design, digital audio and music, and digital art and animation, as well as graduate programs. Its online MSAI program combines academic foundations with practical applications in areas including machine learning, deep learning, natural language processing, computer vision, and ethical AI development. The program is designed for working professionals and recent graduates seeking to advance their AI careers.

Applicants should provide a cover letter, current CV or résumé, and academic transcripts from their most recently attended educational institutions. Unofficial transcripts are acceptable for the application, with official copies requested later. Applicants may also submit a teaching philosophy statement and recent teaching evaluations. Employment offers are subject to a required background check, employment verification, and five-panel drug screen. Complete applications are accepted continuously and remain active for one year; only candidates selected for an interview will be contacted. All adjunct assignments are part-time and temporary, depend on student enrollment and instructional needs, and are subject to budget consideration and approval.

Requirements

• Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a closely related field.
• Minimum of 4 years of relevant professional experience in AI/ML development or applied research.
• Strong expertise in at least one of machine learning, deep learning, natural language processing, computer vision, reinforcement learning, or AI ethics.
• Proficiency with Python and major AI/ML frameworks such as PyTorch, TensorFlow, or scikit-learn.
• Excellent communication skills and ability to explain complex technical concepts clearly.

Nice To Haves

• Demonstrated teaching experience.
• Experience with online learning platforms and virtual instruction methodologies.
• Experience teaching in online or hybrid learning environments.
• Proven ability to engage and support diverse student populations.
• Published research in AI-related conferences or journals.
• Experience mentoring graduate students or early-career professionals.
• Contributions to open-source AI projects or educational resources.
• Knowledge of current trends in responsible AI and ethical considerations in AI development.

Responsibilities

• Collaborate with a professional Instructional Designer to develop engaging, high-quality online instruction for one or more AI-related courses.
• Develop and update course materials, including lectures, tutorials, assignments, projects, and assessments.
• Ensure course content is technically accurate, industry-relevant, and appropriate for online learning.
• Stay current with developments in AI technology, pedagogy, and industry applications.
• Provide periodic updates to course material as necessary.
• Collaborate with faculty colleagues to maintain curriculum quality and coherence.
• Contribute to program assessment and continuous improvement efforts.

What This Job Offers

• Job Type: Part-time
• Career Level: Mid Level