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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 ...

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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 Jul 7, 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 are some 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 are the key skills and qualifications needed to thrive as a Part Time Nvidia Machine Learning Engineer, and why are they important?

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.

Can you work from home at NVIDIA?

Part Time NVIDIA Machine Learning roles may offer remote work options depending on the specific position and team. Many companies in the tech industry, including NVIDIA, provide flexible or remote work arrangements for roles involving machine learning and software development, especially if the job involves using tools like GPUs and programming in Python or CUDA. Candidates should review the job listing for remote work policies and requirements.

What are part-time Nvidia machine learning jobs?

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 are the entry-level jobs at NVIDIA?

Entry-level jobs at NVIDIA for machine learning include roles such as Software Engineer Intern, Data Analyst, and Research Intern, which typically require foundational knowledge of programming, machine learning frameworks, and relevant coursework. These positions often offer opportunities to develop skills in AI, deep learning, and GPU computing, and may require a bachelor's degree or ongoing education in related fields.

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.

How difficult is it to get hired at NVIDIA?

Getting hired for a part-time Nvidia machine learning role typically requires a strong background in machine learning, programming skills in Python and frameworks like TensorFlow or PyTorch, and relevant experience or education. The hiring process is competitive and often involves technical interviews and assessments to evaluate technical proficiency and problem-solving abilities.
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:
What job categories do people searching Part Time Nvidia Machine Learning jobs in Houston, TX look for? The top searched job categories for Part Time Nvidia Machine Learning jobs in Houston, TX are:
Technology Teacher Part-Time

Technology Teacher Part-Time

Archdiocese of Galveston-Houston

Houston, TX • On-site

Part-time

Posted 15 days ago


Job description

Position Type:
Technology
Date Posted:
6/22/2026
Location:
St. Augustine Catholic School
Date Available:
08/01/2026
Closing Date:
08/21/2026
Technology Teacher
St. Augustine Catholic School, Houston, Texas
Position Purpose
Under the general supervision of the School Principal, to develop students' skills and competence in business and industry, technical skills, the use of technology, and the ability to problem solve in a wide variety of settings.
Essential Functions
- Develops and administers technology education curriculum consistent with goals and objectives; develops technology units to be delivered in the classroom or technology lab.
- Teaches skill and knowledge in mechanics, drafting, electricity, electronics, metalwork, graphic arts, woodworking, or related fields.
- Promotes a classroom environment that is safe and conducive to individualized and small group instruction, and student learning.
- Develops lesson plans and instructional materials, and utilizes appropriate equipment for subject area; translates lesson plans into learning experiences to develop pertinent sequential assignments, challenge students, and best utilize the available time for instruction.
- Designs learning activities to demonstrate the application of technical skills to everyday existence; guides students in the selection of projects or experiments.
- Instructs students in the proper and safe use, care and storage of tools, machines and equipment.
- Conducts ongoing assessment of student learning and progress, and modifies instructional methods to fit individual student's needs, including students with special needs; conducts individual and small group instruction as needed.
- Continues to acquire professional knowledge and learn of current developments in the educational field by attending seminars, workshops or professional meetings, or by conducting research.
- Organizes and maintains a system for accurate and complete record-keeping, grading, and reporting for all student activities, achievement and attendance as required by district procedures and applicable laws.
- Encourages parental involvement in students' education and ensures effective communication with students and parents.
- Ensures that student conduct conforms to the school's standards and school district policies, and establishes and maintains standards of student behavior needed to achieve a functional learning atmosphere in the classroom.
- Coordinates with other professionals, staff members, and others for the purpose of maximizing the uses and effectiveness of technology in student learning activities.
- Selects and requisitions appropriate books, instructional aids and other supplies and equipment and maintains inventory records; ensures machines and equipment are in proper working order.
Additional Duties
- Performs other related tasks as assigned by the Principal and other central office administrators as designated by the Superintendent.
Note: The above description is illustrative of tasks and responsibilities. It is not meant to be all inclusive of every task or responsibility.
Equipment
- Uses standard office equipment such as personal computers, printer, copy and fax machines, and telephone.
Skills, Knowledge, Abilities
- Knowledge of current teaching methods and educational pedagogy, as well as differentiated instruction based upon student learning styles.
- In-depth knowledge of, and ability to use, MS Office Standard (Outlook, Word, Excel, PowerPoint, Access) 2003 and 2007.
- Knowledge of PC and MAC hardware and software.
- Knowledge of a wide range of industrial, technical and technology-related subject areas, as well as best practices in incorporating technology into student learning activities.
- Knowledge of data information systems, data analysis and the formulation of action plans.
- Knowledge of applicable federal and state laws regarding education and students.
- Ability to use computer network system and software applications as needed.
- Ability to organize and coordinate work.
- Ability to communicate effectively with students and parents.
- Ability to engage in self-evaluation with regard to performance and professional growth.
- Ability to establish and maintain cooperative working relationships with others contacted in the course of work.
Physical and Mental Demands, Work Hazards
- Works in standard office and school building environments.
Note: Also see the Summary of Physical, Sensory and Environmental Requirements Needed to Perform Essential Functions for this position.
Qualifications Profile
Certification/License:
- State Certification
Education:
- Bachelors from an accredited college or university in education discipline applicable to teaching assignment.
Experience:
- Successful prior teaching experience preferred.
FLSA Status: Exempt