Adjunct Instructor in AI for Human Centered Design

Brandeis University; United States; Remote; USD 67,000 - 80,000; Part time

Job summary

Brandeis University’s Rabb School is seeking an Adjunct Faculty member for RUCD 125: AI for Human Centered Design for the 2027 Spring 1 session. This 3-credit asynchronous online course is an 8-week requirement for the Master of Science in User-Centered Design and Masters Certificate in Technology Futures.

Compensation for this position is $6573.15 and the appointment is in a collective bargaining unit represented by SEIU Local 509.

Responsibilities

• Course Logistics and Facilitation: Focuses on the organized and timely rollout of course content, maintaining consistent communication through weekly announcements, and ensuring all instructional activities occur within university-approved digital platforms.
• Instructor Presence and Engagement: Centers on building an active teaching persona by hosting live introductory sessions, facilitating weekly academic discourse in forums, and maintaining regular availability for student consultation.
• Individual Feedback and Grading: Emphasizes the professional obligation to provide transparent, rubric-based evaluations and supportive commentary on student work within a standardized weekly timeframe.
• Professional Conduct and Standards: Requires adherence to university communication protocols, the promotion of respectful online “netiquette,” and ensuring the course meets accessibility and technical visibility standards before and during the term.

Job description

Brandeis University’s Rabb School is seeking an Adjunct Faculty member for RUCD 125: AI for Human Centered Design for the 2027 Spring 1 session. This 3-credit asynchronous online course is an 8-week requirement for the Master of Science in User-Centered Design and Masters Certificate in Technology Futures.

Course Description: Introduces students to the principles, methods, and ethical considerations for applying artificial intelligence within user experience and product design contexts. Emphasizes responsible integration of AI tools to augment, rather than replace, human-centered design processes. Students will explore how to leverage generative AI, machine learning, and automation to enhance research, prototyping, and personalization, while maintaining transparency, inclusivity, and trust in digital experiences.

Core Course Responsibilities Summary

• Course Logistics and Facilitation: Focuses on the organized and timely rollout of course content, maintaining consistent communication through weekly announcements, and ensuring all instructional activities occur within university-approved digital platforms.
• Instructor Presence and Engagement: Centers on building an active teaching persona by hosting live introductory sessions, facilitating weekly academic discourse in forums, and maintaining regular availability for student consultation.
• Individual Feedback and Grading: Emphasizes the professional obligation to provide transparent, rubric-based evaluations and supportive commentary on student work within a standardized weekly timeframe.
• Professional Conduct and Standards: Requires adherence to university communication protocols, the promotion of respectful online “netiquette,” and ensuring the course meets accessibility and technical visibility standards before and during the term.

Qualifications:

• Required:
• Preferred:

This appointment is to a position that is in a collective bargaining unit represented by SEIU Local 509.

Compensation for this position is $6573.15

Pay Range Disclosure

The University’s pay ranges represent a good faith estimate of what Brandeis reasonably expects to pay for a position at the time of posting. The pay offered to a selected candidate during hiring will be based on factors such as (but not limited to) the scope and responsibilities of the position, the candidate’s work experience and education/training, internal peer equity, and applicable legal requirements.

Equal Opportunity Statement

Brandeis University is an equal opportunity employer which does not discriminate against any applicant or employee on the basis of race, color, ancestry, religious creed, gender identity and expression, national or ethnic origin, sex, sexual orientation, pregnancy, age, genetic information, disability, caste, military or veteran status or any other category protected by law (also known as membership in a “protected class”).