ZipRecruiter

Log In

2

Part Time Nvidia Machine Learning Jobs in Houston, TX

YO AI Labs

AI Data Scientist Expert - Remote

Houston, TX · Remote

$100 - $200/hr

Contractor (Part-Time) Location: Remote Job Overview We are seeking experienced AI Data Science ... Science, Machine Learning, Applied AI, Statistics, Quantitative Analytics, or Data Analytics.

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 ... Science, Machine Learning, Applied AI, Statistics, Quantitative Analytics, or Data Analytics.

next page

Showing results 1-20

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 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:

What are popular job titles related to Part Time Nvidia Machine Learning jobs in Houston, TX?

For Part Time Nvidia Machine Learning jobs in Houston, TX, the most frequently searched job titles 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:

Part Time Nvidia Machine Learning jobs near you
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.

Intern/Aide - Part-time

Baylor College of Medicine

Houston, TX • On-site

$16 - $20/hr

Full-time, Part-time, Internship

Re-posted 6 days ago

Baylor College of Medicine rating

8.0

Company rating: 8.0 out of 10

Based on 24 frontline employees who took The Breakroom Quiz

188th of 618 rated colleges and universities

Job description

Intern/Aide - Part-time
Division: Integrative Physiology
Work Arrangement: Onsite only
Location: Houston, TX
Salary Range: $16/hour - $20/hour
FLSA Status: Nonexempt
Work Schedule: Flexible
Summary
The intern/aide will receive training on machine learning algorithms, implementing them, and fitting them on the datasets in the cluster computers. Overall, the position will offer great exposure to genomic data science and advanced machine learning. The PI will identify the specific datasets and machine learning algorithms. The intern will implement the algorithms in Python/R and fit them on the datasets in the cluster computers. This is part-time position, 16 hours/week.
Job Duties
  • Learns to formulate machine learning problems.
  • Learns to implement machine learning algorithms using Python/R.
  • Learns to fit machine learning models on biological data.
  • Identifies the specific datasets and machine learning algorithms.
  • Implements the algorithms in Python/R and fit them on the datasets in our cluster computers.
  • Performs other job-related duties as assigned.

Minimum Qualifications
  • Must be enrolled in high school, trade/vocational school or higher education institution.

Preferred Qualifications
  • Undergraduate or graduate students enrolled in program for computer science or statistics or computational biolgy or biomedical sciences.
  • Strong skills in computer science and programming (algorithm implementation, data structure, and machine learning).
  • Familiarity with cutting-edge models such as foundation models, large language models, diffusion models, is a plus.

Requisition ID: 25937

What Baylor College of Medicine employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply