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Part Time Nvidia Machine Learning Jobs in Houston, TX

... 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 ...

... 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 ...

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 ...

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 ...

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 ...

Showing results 41-60

Part Time Nvidia Machine Learning information

See Houston, TX salary details

$24.4K

$40.7K

$84K

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

As of Aug 17, 2026, the average yearly pay for part time nvidia machine learning 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 part time Nvidia machine learning job?

Part-time Nvidia machine learning jobs are positions that involve working with Nvidia’s machine learning technologies, such as CUDA, TensorRT, and GPU-accelerated frameworks, but on a reduced or flexible schedule. These roles often include tasks like developing, optimizing, or testing machine learning models using Nvidia hardware and software. They are suitable for students, professionals seeking flexible hours, or those looking to gain experience in AI and deep learning without committing to a full-time role. Responsibilities can range from research and development to support and implementation of AI solutions.

What skills and qualifications are needed to thrive as a part time Nvidia machine learning engineer?

To thrive as a Part Time Nvidia Machine Learning Engineer, you need a solid background in machine learning, statistics, and programming (Python or C++), often supported by a relevant degree or coursework. Experience with Nvidia's CUDA, TensorRT, and deep learning frameworks like TensorFlow or PyTorch is typically required. Strong problem-solving skills, adaptability, and effective communication help you collaborate remotely and deliver impactful solutions. Mastery of these skills ensures efficient model development and deployment, leveraging Nvidia technologies to drive innovation in AI projects.

What are common challenges faced by part time Nvidia machine learning professionals, and how can they be addressed?

Part-time Nvidia Machine Learning professionals often face challenges related to balancing project deadlines with limited working hours, as well as staying updated with rapidly evolving tools and frameworks. Collaborating efficiently with full-time team members and maintaining continuity in long-term projects can also be difficult. To address these challenges, clear communication, regular progress updates, and leveraging collaboration platforms are essential. Additionally, setting realistic goals and proactively seeking support from colleagues can help ensure smooth integration and continued professional development.

What is the difference between Part Time Nvidia Machine Learning vs Part Time Data Scientist?

AspectPart Time Nvidia Machine LearningPart Time Data Scientist
Required CredentialsKnowledge of Nvidia tools, programming, basic ML conceptsStatistics, programming, data analysis skills
Work EnvironmentTech companies, research labs, AI startupsBusiness, finance, healthcare, tech firms
Industry UsageAI development, deep learning projectsData analysis, predictive modeling

While both roles involve data and programming, Part Time Nvidia Machine Learning focuses on AI and deep learning using Nvidia tools, whereas Part Time Data Scientist emphasizes data analysis and insights across various industries.

What are the most commonly searched types of Nvidia Machine Learning jobs in Houston, TX?

The most popular types of Nvidia Machine Learning jobs in Houston, TX are:

Infographic showing various Part Time Nvidia Machine Learning job openings in Houston, TX as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $40,666 per year, or $19.6 per hour.

Adjunct Faculty, Psychology

Lone Star College

Conroe, TX • On-site

Part-time

Retirement

Re-posted 17 days ago


Lone Star College rating

6.4

Company rating: 6.4 out of 10

Based on 20 frontline employees who took The Breakroom Quiz

524th of 618 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 Psychology (PSYC) 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:
    • Master's in psychology or Master's with 18 graduate hours in psychology; or Master's in educational psychology, or counseling psychology with 18 hours of graduate coursework completed in psychology or analysis of coursework

    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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