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Part Time Nvidia Machine Learning Jobs in Houston, TX

Tamus

Learning Facilitator I

Galveston, TX · On-site

$18.43/hr

In addition to our undergraduate consultants, we are seeking a part-time Learning Facilitator I ... Excellent communication and organization skills Additional Information Machines and Equipment:

Alvin Community College

Custodian (FT & PT)

Alvin, TX · On-site

$22K/mo

Cleans, waxes, and polishes floors by hand or machine; removes dirt and blemishes from floor with ... Vision Statement "Alvin Community College envisions a college that inspires lifelong learning ...

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All JobsNvidia Machine Learning JobsPart Time Nvidia Machine Learning JobsPart Time Nvidia Machine Learning Jobs in Houston, TX

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:
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Part Time Nvidia Machine Learning jobs near you
Part-Time Faculty - Computer Information Tech Artificial Intelligence (South)

Part-Time Faculty - Computer Information Tech Artificial Intelligence (South)

San Jacinto College

Houston, TX • On-site

Full-time, Part-time

Posted 20 days ago

San Jacinto College rating

9.1

Company rating: 9.1 out of 10

Based on 8 frontline employees who took The Breakroom Quiz

17th of 544 rated colleges and universities

Job description

Part-Time Faculty - Computer Information Tech Artificial Intelligence (South)
Teaching Computer Information Technology Artificial Intelligence related coursework.
Additional Responsibilities:
  • Develop syllabi and materials, including laboratory activities, aligned with state, college, and departmental standards.
  • Participate in the design of course content and materials that cover emerging trends in artificial intelligence, information technology, and cybersecurity.

Applications for part-time faculty positions are accepted on a continuous basis and reviewed if openings become available. These positions are not current vacancies. Instructors employed as part-time faculty are not entitled to all the rights, privileges, and benefits of regular, full-time employees. Part-time faculty are hired on an "as needed" basis and will work for the duration of time specified by the respective course. A portion of teaching assignment may be evening classes and possibly weekend classes. Faculty are assigned to teach courses using various delivery methods based on the teaching area and the needs of students and the College, which may require a physical presence at the assigned on-site work location.
Required Education:
  • Bachelor's degree in Artificial Intelligence, Computer Science, Data Science, Information Technology, or a closely related discipline.

Required Experience:
  • 3 years of full-time work experience in AI, machine learning, data analytics, or related fields.
  • Practical experience with AI tools and frameworks (e.g., Python, TensorFlow, PyTorch).
  • Familiarity with data governance, compliance standards, and AI ethics.

Preferred Education:
  • Master's degree in AI or related field.

Preferred Experience:
  • College-level teaching experience.
  • Five or more years of professional experience in AI or related domains.
  • Experience in deploying AI solutions in organizational settings.

Preferred Licenses and Certifications:
  • AI/ML-related certifications (e.g., TensorFlow Developer, AWS Certified Machine Learning Specialty).
  • Data governance or compliance certifications.

Salary Grade: AH
Salary is based on the Board-approved salary schedule for the current fiscal year. See Salary Schedule
Requisition Number: req6167
Posting Close Date: 8/31/2026 at 6 pm CST

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