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Machine Learning Part Time Jobs in Houston, TX (NOW HIRING)

... machining, and welding. Location address is 777 Conroe Park North Drive, Conroe, TX 77303. PURPOSE ... learning. Adjunct faculty are hired in a part-time capacity on a semester-by-semester basis ...

... machining, and welding. Location address is 777 Conroe Park North Drive, Conroe, TX 77303. PURPOSE ... learning. Adjunct faculty are hired in a part-time capacity on a semester-by-semester basis ...

... machining, and welding. Location address is 777 Conroe Park North Drive, Conroe, TX 77303. PURPOSE ... learning. Adjunct faculty are hired in a part-time capacity on a semester-by-semester basis ...

... machining, and welding. Location address is 777 Conroe Park North Drive, Conroe, TX 77303. PURPOSE ... learning. Adjunct faculty are hired in a part-time capacity on a semester-by-semester basis ...

... machining, and welding. Location address is 777 Conroe Park North Drive, Conroe, TX 77303. PURPOSE ... learning. Adjunct faculty are hired in a part-time capacity on a semester-by-semester basis ...

... machining, and welding. Location address is 777 Conroe Park North Drive, Conroe, TX 77303. PURPOSE ... learning. Adjunct faculty are hired in a part-time capacity on a semester-by-semester basis ...

Drafting, Engineering Technology, Geographic Information Systems, Machining and Welding. Location ... learning. Adjunct faculty are hired in a part-time capacity on a semester-by-semester basis ...

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Machine Learning Part Time information

See Houston, TX salary details

$24.4K

$40.7K

$84K

How much do machine learning part time jobs pay per year?

As of Jun 15, 2026, the average yearly pay for machine learning part time in Houston, TX is $40,666.00, according to ZipRecruiter salary data. Most workers in this role earn between $31,000.00 and $43,900.00 per year, depending on experience, location, and employer.

What is a Machine Learning Part Time job?

A Machine Learning Part Time job is a role where individuals work on ML-related tasks with a flexible or reduced schedule. These roles can involve data preprocessing, model development, evaluation, or deployment, depending on the organization's needs. Part-time positions are often suitable for students, freelancers, or professionals looking to gain experience while managing other commitments. They may be remote or on-site and can vary in duration and workload.

What are the key skills and qualifications needed to thrive in the Machine Learning Part Time position, and why are they important?

To thrive as a Machine Learning Part Time professional, you need a strong foundation in statistics, programming (often Python or R), and knowledge of core machine learning algorithms, typically demonstrated through a degree in computer science, engineering, or a related field. Familiarity with frameworks such as TensorFlow, Scikit-learn, or PyTorch and experience with data preprocessing tools or cloud platforms are commonly expected, and certifications like TensorFlow Developer can be beneficial. Effective communication, time management, and the ability to work independently are key soft skills for success in this role. These competencies enable you to efficiently contribute to projects, solve complex problems, and collaborate remotely or in hybrid team environments.

What are the typical responsibilities and expectations for a part-time machine learning role?

In a part-time machine learning position, you are generally expected to assist with data preprocessing, model development, and analysis of project results under the guidance of a senior data scientist or engineer. Your tasks might include cleaning datasets, coding algorithms, running experiments, and preparing reports or presentations for team meetings. The work is often project-based and requires regular communication with team members to ensure alignment on objectives and deliverables. This structure allows you to gain hands-on experience with real-world datasets and industry tools while maintaining a flexible schedule, making it ideal for students or professionals transitioning into the field.

What are the most commonly searched types of Machine Learning jobs in Houston, TX? The most popular types of Machine Learning jobs in Houston, TX are:
What are popular job titles related to Machine Learning Part Time jobs in Houston, TX? For Machine Learning Part Time jobs in Houston, TX, the most frequently searched job titles are:
What job categories do people searching Machine Learning Part Time jobs in Houston, TX look for? The top searched job categories for Machine Learning Part Time jobs in Houston, TX are:
What cities near Houston, TX are hiring for Machine Learning Part Time jobs? Cities near Houston, TX with the most Machine Learning Part Time job openings:
Infographic showing various Machine Learning Part Time job openings in Houston, TX as of June 2026, with employment types broken down into 100% Part Time. Highlights an 100% In-person job distribution, with an average salary of $40,666 per year, or $19.6 per hour.
Adjunct Faculty, Developmental Math

Adjunct Faculty, Developmental Math

Lone Star College

Conroe, TX • On-site

Part-time

Retirement

Posted 2 days ago


Lone Star College rating

7.4

Company rating: 7.4 out of 10

Based on 19 frontline employees who took The Breakroom Quiz

286th of 537 rated colleges and universities


Job description

Commitment to Mission
This job carries with it the obligation to uphold the Mission of Lone Star College (LSC) in carrying out the duties of the position. A commitment to positive interpersonal behaviors, professional communication, integrity, leadership, stewardship, respect and accountability to LSC students and employees is essential.
Cultural Beliefs
  • One LSC
  • Student Focused
  • Own It
  • Foster Belonging
  • Cultivate Community
  • Choose Learning
The Chronicle of Higher Education's "Great Colleges to Work For®" is designed to recognize colleges that have been successful in creating great workplaces and to further research and understanding of the factors, dynamics and influences that have the most impact on organizational culture at higher education institutions.
Lone Star College has been recognized in multiple categories.
Qualities of Excellence
As faculty members of Lone Star College, we strive to create a nation of world citizenry in our students. In that pursuit, we model ways of thinking and being that incorporate diversity, equality, and equity. Our culture, then, requires the possession of transcendent qualities that, while immeasurable, are evident in global citizens. We are compassionate with our students, colleagues, and ourselves. We are innovative in the pursuit of learning. Ultimately, we create a culture where learning thrives, people are safe, and we mirror the qualities of world citizenry.
Lone Star College faculty are dedicated to four qualities of excellence:
  • Student Invested
  • Content Expert
  • Pedagogically Excellent
  • Institutionally Dedicated

Campus Marketing Statement
Lone Star College-Conroe Center
Lone Star College offers high-quality, low-cost academic transfer and career training education to 80,000+ students each semester. LSC has been named a 2023 Great Colleges to Work For® institution by the Chronicle of Higher Education.
LSC consists of eight colleges, seven centers, eight Workforce Centers of Excellence and Lone Star Corporate College.
Lone Star College's Conroe Center, the premiere student-centered educational institution in Montgomery County, serves Conroe, Willis, and the northern county communities. LSC-Conroe Center provides a relaxing and supportive learning atmosphere through certificate and college classes and workforce programs such as automotive technology, machining, and welding.
Location address is 777 Conroe Park North Drive, Conroe, TX 77303.
Job Description
PURPOSE AND SCOPE:
It is the responsibility of the teaching faculty to provide the learning activities and support that will lead to the achievement of the course objectives and contribute to the educational environment of the college and the community. Primary responsibilities are to plan, develop and teach courses within the curriculum in a manner that facilitates student learning.
Adjunct faculty are hired in a part-time capacity on a semester-by-semester basis, contingent upon the needs of the System. Lone Star College accepts application material year-round from qualified applicants willing to teach on a part-time basis. Adjunct (part-time) faculty hiring is based on student demand. We offer day, evening, and weekend classes. Classes are offered at various times and locations during the academic year. As a rule, adjunct faculty may teach a maximum of five classes per academic year.
ESSENTIAL JOB FUNCTIONS:
  • Teaches Developmental Math courses at a variety of times and locations
  • Creates engaging lessons that promote student involvement and application of the material.
  • Submits required college reports and forms in a timely manner
  • Utilizes a course syllabus for each course, following established institutional guidelines
  • Meets with and advises students either before or after class or by appointment, electronic communication, or other appropriate methods
  • Evaluates students to measure their progress in achieving course objectives and informs students in a timely manner of their progress
  • Maintains professional relationships with students, colleagues, and the community
  • Attends meetings, trainings, and orientations as required
  • Responsible for other reasonable related duties as assigned

  • KNOWLEDGE, SKILLS, AND ABILITIES:
    • Mastery of course content
    • Demonstrated leadership skills; Style that emphasizes collaboration, teamwork, and facilitation
    • Excellent oral and written communication skills and interpersonal skills
    • Ability to appreciate alternative viewpoints; Ability to work effectively with a wide variety of people
    • Demonstrates interest in interdisciplinary teaching, service learning, learning technologies, course development, and adult learning methodologies including collaborative learning, learning communities and distance learning
    • Commitment to academic excellence, exceptional service and providing a dynamic climate for life-long learning
    • Demonstrated ability to develop and implement instructional approaches such as service learning/civic engagement, learning communities, and the effective use of technology
    • Ability to use effective strategies to engage students in their learning
    PHYSICAL ABILITIES:
    • The work is sedentary. Typically, the employee sits comfortably to do the work. However, there may be some walking; standing; bending; carrying of light items, such as papers, books, or small parts; or driving an automobile. No special physical demands are required to perform the work.
    WORK SCHEDULE AND CONDITIONS:
    • Equipment used includes, PC workstation running on a LAN in a Microsoft Windows environment, calculator, phone and other general office equipment, and any specialized equipment standard within the discipline/industry
    • Interface with internal and external contacts as needed to carry out the functions of the position
    • Work is performed in a climate-controlled classroom and/or lab environment with minimal exposure to safety hazards
    • Hours will vary depending on class time; Instructors are required to meet with classes at all scheduled times and be available to students outside of class instruction
    REQUIRED QUALIFICATIONS:
    • Bachelor's degree or higher with a minimum of 12 undergraduate hours in mathematics, statistics

    Salary
    $55.44 per contact hour.
    Benefits Marketing Statement
    By joining our top-notch institution, you will enjoy being a part of an organization that offers a supportive, collegial work environment, excellent work/life balance, tuition waiver, participation in a tax deferred retirement plan, professional development opportunities and more.
    Special Instructions
    Go to the Job Search page, click on 'My Activities' at the top of the page. Under My Cover Letters and Attachments you will click on 'Add Attachment.' Please be sure to put the Job ID# in the title once you name your file for cover letters only, unless you attached your cover letter with your resume.
    If you are applying for an Instructional position (i.e. Faculty, Adjunct Faculty, Instructor), please ensure you include the following to be considered: Resume/CV, Cover Letter, Teaching Philosophy, and unofficial transcripts.
    You must limit your file name for any attachment to 40 characters or less.
    How to Apply
    ALL APPLICANTS MUST APPLY ONLINE ONLY
    We will not accept application material received via fax, email, mail, or hand delivered.
    Postings for part-time and adjunct positions are active for the academic year. By selecting the option to receive notifications on your profile, you will begin receiving electronic communication regarding new opportunities with Lone Star College (LSC).
    If selected for an interview, a recruiter will contact you by phone, or email to schedule an interview.
    Lone Star College participates in the E-Verify program, under which Lone Star College provides the federal government with information from each new employee's Form I-9 to confirm that the employee is authorized to work in the United States.
    More information on the E-Verify program is available at www.dhs.gov/E-Verify .
    Lone Star College is an EEO Employer. All positions are subject to a criminal background check.

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