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Instructor, BAT Artificial Intelligence - Adjunct Pool

Job in Houston, Harris County, Texas, 77246, USA
Listing for: Houston Community College System
Full Time position
Listed on 2026-06-19
Job specializations:
  • Education / Teaching
    University Professor, Online Teaching, Academic, Adult Education
Salary/Wage Range or Industry Benchmark: 60000 USD Yearly USD 60000.00 YEAR
Job Description & How to Apply Below

Instructor, BAT Artificial Intelligence - Adjunct Pool

Houston, Texas, West Loop Center | Adjunct | 24001FS Requisition | Posted Jan 10, 2025

Summary

Provide the expertise and knowledge that support the college curriculum and programs. Establish courses following accepted higher education standards, teach students using a variety of effective methodologies and provide engagement and support activities that encourage student learning. The role encompasses teaching, learning, academic advising, professional development, institutional and community service.

Essential Duties and Responsibilities
  • Teaching:
    • Demonstrate skill and/or knowledge in teaching discipline.
    • Make continuous efforts to improve the quality of instruction by reviewing and utilizing innovative methodologies, techniques, and delivery methods.
    • Develop and use a syllabus for each course or laboratory within college, discipline, and departmental guidelines and submit one copy to the department chair.
    • Plan, develop, and use a variety of teaching methods and materials that assist students in meeting course objectives and are appropriate for students with differing educational and experiential backgrounds and learning styles.
    • Evaluate students to measure their progress toward achievement of stated course objectives and inform them of their progress in the course in a timely manner.
    • Keep accurate student records and submit related reports and forms within requested timelines.
    • Review, evaluate, and recommend student textbooks and learning materials.
    • Teach courses at a variety of times, locations, and modalities in response to institutional programmatic needs.
    • Develop and maintain an LMS shell for each assigned course.
    • Use equipment and facilities responsibly and courteously. Where appropriate, assist the chair with the routine maintenance of instructional laboratories.
    • Demonstrate competence and interest in the use of technology in the classroom and willingness to explore new instructional methodologies.
  • Academic Advising:
    • Maintain professional relationships with students, colleagues, and the community.
    • Provide access to students through posted office hours, electronic communication, and other appropriate methods. Provide advice and assistance to students regarding instructional or program-specific issues during class time and office hours.
  • Professional Development:
    • Establish annual objectives for professional growth in consultation with the department chair.
    • Keep pace with developments in the discipline.
    • Learn technologies that support student learning.
    • Participate in department-required annual evaluation process.
  • Institutional and Community Service:
    • Part‑time faculty are encouraged but not required to participate in department, college, or district committees and governance organizations.
    • Be familiar with and adhere to all policies and procedures of HCCS.
    • Participation in activities required to maintain program and college accreditation standards.
  • Qualifications

    The qualifications listed below are representative of the education, experience, knowledge, skills, and/or abilities required.

    Education

    Master’s degree (or 18 graduate level hours) in a STEM‑related field such as Artificial Intelligence, Data Science, Engineering, Physics, Computer Science, or other related science major required.

    Doctorate degree in the aforementioned fields preferred.

    Experience

    3 years industrial experience in Machine Learning, Artificial Intelligence (AI/ML), Deep Learning, Cloud Computing, Applications Development, Cybersecurity, IT, Computer Science, System Support, Databases/Fulfillment, Storage, Electrical Systems, Software Design/Development, Programming or Robotics required.

    Beyond expertise in machine learning, preference will be given to applicants with real‑world experience in one or more of the following: virtual systems, operating systems, assembly language, programming languages (esp. C++, Python, R, Java, Objective‑C, Azure, and/or Swift), cloud computing, reverse engineering, computer networks, information security, digital forensics, risk analysis & mitigation, or policy development. AI industry credentials including AWS, Google preferred.

    Knowledge,

    Skills, and Abilities
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