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Part Time Data Science Instructor Jobs in Texas (NOW HIRING)

YO AI Labs

AI Data Science Expert - Remote

Austin, TX · Remote

$100 - $200/hr

Contractor (Part-Time) Location: Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their expertise to an innovative project focused on advancing next ...

YO AI Labs

AI Data Science Expert - Remote

Dallas, TX · Remote

$100 - $200/hr

Contractor (Part-Time) Location: Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their expertise to an innovative project focused on advancing next ...

YO AI Labs

AI Data Science Expert - Remote

Austin, TX · Remote

$100 - $200/hr

Contractor (Part-Time) Location: Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their expertise to an innovative project focused on advancing next ...

YO AI Labs

AI Data Science Expert - Remote

Houston, TX · Remote

$100 - $200/hr

Contractor (Part-Time) Location: Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their expertise to an innovative project focused on advancing next ...

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All JobsData Science Instructor JobsPart Time Data Science Instructor JobsPart Time Data Science Instructor Jobs in Texas

Part Time Data Science Instructor information

What does a part time data science instructor do?

A Part Time Data Science Instructor teaches data science concepts and skills to students, typically in a classroom or online setting, on a part-time basis. Their responsibilities include preparing lesson plans, delivering lectures or workshops, guiding students through practical exercises, and providing feedback on assignments. They often cover topics such as statistics, programming (usually Python or R), machine learning, and data analysis. Instructors may also help students with career advice and project-based learning. The part-time nature of the role allows for flexibility and may attract industry professionals who want to share their expertise while maintaining other commitments.

What are some common challenges faced by part time data science instructors, and how can they be addressed?

Part-time data science instructors often juggle teaching responsibilities alongside other professional commitments, which can make time management a challenge. Staying current with rapidly evolving tools and techniques in data science is also essential, as students expect instruction on the latest industry practices. Building engagement and fostering interaction in limited class hours can require creative lesson planning and use of real-world projects. To address these challenges, instructors benefit from leveraging collaborative curriculum resources, actively participating in professional development, and maintaining open communication with students and fellow faculty.

What are the key skills and qualifications needed to thrive as a part time data science instructor, and why are they important?

To thrive as a Part Time Data Science Instructor, you need a strong background in statistics, programming (commonly Python or R), and data analysis, typically supported by a relevant degree or industry experience. Familiarity with technical tools such as Jupyter Notebooks, machine learning libraries (like scikit-learn or TensorFlow), and data visualization platforms is essential, and teaching certifications can be advantageous. Outstanding communication, adaptability, and the ability to simplify complex concepts help instructors engage and support diverse learners. These skills and qualities are crucial for delivering effective instruction, fostering student understanding, and ensuring positive learning outcomes.

What are the most commonly searched types of Data Science Instructor jobs in Texas?

The most popular types of Data Science Instructor jobs in Texas are:

What cities in Texas are hiring for Part Time Data Science Instructor jobs?

Cities in Texas with the most Part Time Data Science Instructor job openings:

Part Time Data Science Instructor jobs near you
Infographic showing various Part Time Data Science Instructor job openings in Texas as of August 2026, with employment types broken down into 1% As Needed, 87% Full Time, 10% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

Part Time Instructor - Computer Science

Blinn College District

Brenham, TX • On-site

Full-time, Part-time

Re-posted 29 days ago

Job description

Part Time Instructor - Computer Science
The Blinn College District is searching for a Part Time Instructor - Computer Science at all of our campus locations.
Primary Duties and Responsibilities are listed below:
Job Summary
Perform part-time instruction within the Computer Science program of the Blinn College District
Principal Accountabilities
  • Teach Computer Science classes as assigned by the Dean, Assistant Dean, or Department Head.
  • Provide instruction for courses offered at various times, modalities, and locations.
  • Maintain regular office hours and remain accessible to students in person, electronically, and by phone.
  • Maintain current knowledge in the discipline, including contemporary teaching strategies and classroom technology.
  • Manage classroom media, equipment, and instructional resources.
  • Evaluate student performance and maintain an accurate and active gradebook.
  • Integrate, implement, and collect assessments for course outcomes and student learning outcomes.
  • Submit all required reports, documentation, and forms in a timely manner.
  • Participate annually in professional development activities.
  • Attend institutional meetings and trainings as required.
  • Performs other duties as assigned.

Minimum Qualifications/ Required Degree, License or CertificationsMaster's degree or higher with at least 18 graduate hours in computer science. All coursework must be from an accredited college or university.
Minimum Competencies
  • Ability to establish and maintain effective working relationships with other instructors, staff, administration and students.
  • Ability to instruct students while achieving the course learning objectives.

Preferred Qualifications
  • College teaching experience.
  • Online teaching experience.
  • Digital game design / development experience.

Preferred Competencies
In addition to a Master's degree in Computer Science, a Master's degree or 18 graduate-level hours in either Information Technology or Engineering
Special Notes To ApplicantsThis is a perpetual job posting. Applications are accepted at any time; however, a position may or may not be currently available.
Teaching Assignments for this position will have face-to-face instruction on the Bryan Campus. Any candidate not willing to travel will not be considered
Applications lacking a cover letter, resume, transcripts, or other requested information will be considered incomplete and may not be reviewed.
Requested documents should be attached as PDF files to this application.
Official transcripts will be required. Unofficial transcripts may be attached to this application for review; but, if employed, official undergraduate and graduate transcripts must be sent by the degree-granting institution directly to Blinn College (Blinn College, Vice Chancellor of Academic Affairs Office, Academic Affairs Office, 902 College Ave., Brenham, Texas, 77833). Additionally, transcripts maybe sent electronically to lisa.leopold@blinn.edu.
Names and means of contact (email address or telephone number) of three references must be included in resume or CV.
All foreign transcripts must be accompanied by a credential evaluation from a certified agency.
A short teaching demonstration will be required if the applicant is selected for interview.
Job Type: Part Time
Employment Type: Exempt
Compensation: Per Salary Schedule
Salary or Wage: Per PT Faculty Salary Schedule
Grade: FAC
Division: Academic Affairs
Department: Computer Science
Location: Brenham Campus
Target Hire Date: 2/23/2026
The Blinn College District provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics.

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