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Adjunct Faculty; Data Science and Artificial Intelligence NLC

Job in Universal City, Bexar County, Texas, 78148, USA
Listing for: Alamo Colleges District
Full Time, Part Time, Seasonal/Temporary position
Listed on 2026-06-08
Job specializations:
  • Education / Teaching
    Data Scientist
Salary/Wage Range or Industry Benchmark: 30000 - 50000 USD Yearly USD 30000.00 50000.00 YEAR
Job Description & How to Apply Below
Position: Adjunct Faculty (Data Science and Artificial Intelligence) NLC

Adjunct Faculty (Data Science and Artificial Intelligence) NLC - req
13794

To receive consideration for employment, you must upload transcript(s) and a Resume/CV. Please submit transcript(s) under "Other Documents" under applicant profile in application.

Posting closes on:12/1/2026 at 6:00pm CST

This position is part-time and temporary.

Employment type:

TN

Hourly or Salaried:
Salary

Entry Pay:
Depends on education level

Benefits Eligible:
No

Location

Data Sci Artificial Intelligenc
1201 Kitty Hawk Rd.
Universal City, Texas, 78148
United States

Outside Working Hours

May work evenings and weekends.

Job Summary and Description

Teaching faculty are professional educators who have the primary responsibility of fulfilling the District mission of providing a quality education for all students attending the colleges. Categories include full-time, temporary with benefits, and temporary without benefits. Faculty members are responsible to a department/program chairperson; the relationship of the faculty member to the student is one of leader, teacher, advisor, and facilitator of learning.

Faculty members will uphold the mission and values of the colleges’ and foster effective working relationships with students and colleagues.

Qualifications
  • Associates degree plus three years of experience.
  • Python coding with experience in Pandas, Scikit, numpy.
  • Experience with IDEs such as PyCharm and Anaconda.
  • Experience in Machine Learning, supervised and unsupervised, including creation of small models for real-world purposes.
  • Familiarity with frameworks such as Tensor Flow.
  • Exposure to Neural Networks/Deep Learning Algorithms.
  • Good understanding of statistics (regression, ANOVA).
  • Fair knowledge of RDBMS, No

    SQL, JSON, YAML.
  • Some Experience with benchmarking LLMs qualitatively and quantitatively.
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