Adjunct Associate Faculty, AI User Interfaces for Analytics (On-Campus, Fall '26)

Columbia University

New York (NY)

On-site

USD 22,320 - 33,480

Part time

14 days+

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Job summary

Columbia University is seeking an adjunct Associate Faculty member for a graduate-level course in AI User Interfaces for Analytics commencing in Fall '26. This part-time role involves assisting instruction, leading discussions, and evaluating student work.

Ideal candidates will have a strong background in UX design and data visualization along with industry experience in UX/UI and web development. The position offers a salary range of $2,000 to $3,000 per semester long course.

Qualifications

  • Good understanding of UX design and data visualization principles.
  • Proven industry experience in UX/UI and web development.
  • 3+ years related professional experience preferred.
  • University teaching experience is an advantage.

Responsibilities

  • Attend all class sessions and assist with instruction.
  • Lead class lectures and classroom discussions.
  • Evaluate and grade student work as requested.

Skills

UX design principles
Data visualization principles
UX/UI and web development
Cloud services (AWS, GCP, Azure)
Generative AI for visualization

Job description

Adjunct Associate Faculty, AI User Interfaces for Analytics (On-Campus, Fall '26)
  • Part-time
  • Employee Job Category: Faculty Job
  • Term: 2026 FALL
  • Role: Associate, Part-time
  • Department: Applied Analytics
  • Division: Masters
  • Program: Applied Analytics
  • Academic Program: APAN

Columbia University has been a leader in higher education in the nation and around the world for more than 250 years. At the core of our wide range of academic inquiry is the commitment to attract and engage the best minds in pursuit of greater human understanding, pioneering new discoveries, and service to society.

The School of Professional Studies at Columbia University offers innovative and rigorous programs that integrate knowledge across disciplinary boundaries, combine theory with practice, leverage the expertise of our students and faculty, and connect global constituencies. Through twenty professional master's degrees, courses for advancement and graduate school preparation, certificate programs, summer courses, high school programs, and a program for learning English as a second language, the School of Professional Studies transforms knowledge and understanding in service of the greater good.

Job Description

Seeking analytics professionals to serve as a part‑time Associate for a graduate level course on AI User Interfaces for Analytics. An Associate is a faculty line junior to a Lecturer, that provides subject matter expertise and supports the instructional process for a course section. Serving as an Associate is an outstanding way to gain exposure to graduate level teaching at Columbia University.

Responsibilities
  • Attend all class sessions, assist with instruction, lead breakout sessions, facilitate discussions.
  • Lead class lectures, instructional activities, and classroom discussion. Attend all class sessions.
  • Evaluate, grade student work and assessments as requested.

Columbia University SPS operates under a scholar‑practitioner faculty model, which enables students to learn from faculty possessing outstanding academic training as well as a record of accomplishment as practitioners in an applied industry setting.

Requirements
  • Good understanding of UX design and data visualization principles.
  • Proven industry experience in UX/UI and web development.
Preferred Skills & Experience
  • 3+ years related professional experience.
  • University teaching experience.
  • Experience with cloud services on AWS, GCP, or Azure.
  • Any experience applying generative AI models for visualization.
Salary range

$2,000 - $3,000 per semester long course

Please submit a resume inclusive of university teaching experience.

All your information will be kept confidential according to EEO guidelines.

Columbia University is an Equal Opportunity Employer / Disability / Veteran

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