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Part Time Nvidia Machine Learning Jobs in Houston, TX

Bechtel

Senior Counsel - EPC Transformation

Houston, TX · On-site

$130K - $176K/yr

Telework Type: Part-Time Telework * Work Location: Houston, TX Extraordinary teams building ... Strong understanding of machine learning and artificial intelligence. Ability to translate highly ...

Bechtel

Senior Counsel - EPC Transformation

Houston, TX · On-site +1

$133K - $181K/yr

Telework Type: Part-Time Telework * Work Location: Houston, TX Extraordinary teams building ... Strong understanding of machine learning and artificial intelligence. Ability to translate highly ...

Lone Star College

Adjunct Faculty, Drama

Conroe, TX · On-site

... 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 ...

Lone Star College

Adjunct Faculty, History

Conroe, TX · On-site

... 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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Showing results 21-40

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:

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.

Senior Counsel - EPC Transformation

Bechtel

Houston, TX • On-site

$130K - $176K/yr

Part-time

Re-posted 7 days ago

Bechtel rating

7.6

Company rating: 7.6 out of 10

Based on 65 frontline employees who took The Breakroom Quiz

283rd of 449 rated engineering

Job description

Requisition ID: 296888
  • Relocation Authorized: None
  • Telework Type: Part-Time Telework
  • Work Location: Houston, TX

Extraordinary teams building inspiring projects:
Since 1898, we have helped customers complete more than 25,000 projects in 160 countries on all seven continents that have created jobs, grown economies, improved the resiliency of the world's infrastructure, increased access to energy, resources, and vital services, and made the world a safer, cleaner place.
Differentiated by the quality of our people and our relentless drive to deliver the most successful outcomes, we align our capabilities to our customers' objectives to create a lasting positive impact. We serve the Infrastructure; Nuclear, Security & Environmental; Energy; Mining & Metals, and the Manufacturing and Technology markets. Our services span from initial planning and investment, through start-up and operations.
Core to Bechtel is our Vision, Values and Commitments. They are what we believe, what customers can expect, and how we deliver. Learn more about our extraordinary teams building inspiring projects in our Impact Report.
Job Summary:
Bechtel is seeking an experienced Senior Counsel to support EPC Transformation initiatives, including AI-enabled engineering, autonomous robotics, and data-driven project delivery. This role will partner with robotics, innovation, engineering, construction, and digital teams to enable responsible EPC transformation while managing legal risk. #LI-JL1
Major Responsibilities:
  • Support our EPC transformation by serving as the embedded legal advisor on autonomous robotics, vehicle and technologies, engineering innovation, and vertical artificial intelligence integration into EPC service delivery.
  • Draft and negotiate supplier technology, robotics, and vendor agreements for preliminary discussions, proofs of concept, pilots, and procurements.
  • Draft and negotiate research and joint development agreements with a focus on protecting Bechtel's intellectual property and integrating appropriate technical architecture ontologies and safety industrial standards (IEEE, ISO, ANSI/RIA, ASTM).
  • Draft and negotiate EPC prime contract language to facilitate deployment, including data rights and related clauses.
  • Evaluate liability, safety risk management, and regulatory compliance (OSHA, MSHA, NHTSA) for use of autonomous software and hardware.
  • Provide legal guidance on autonomous robotics deployment and AI governance that reflects both acute legal and strategic analysis.
  • Support regulatory compliance across jurisdictions to help Bechtel successfully navigate these various considerations.
  • Partner with internal stakeholders to develop procedures, guidelines, and frameworks.

Education and Experience Requirements:
  • Requires a Juris Doctor (or international equivalent) and 15+ years of relevant experience.
  • 10+ years of legal experience in construction law, autonomous technologies, including vehicles, robotics, and heavy machinery.
  • Strong understanding of machine learning and artificial intelligence. Ability to translate highly technical engineering concepts into sound legal strategy.

Required Knowledge and Skills:
  • Experience with robotics or autonomous systems.
  • Familiarity with AI and AI governance.
  • EPC and infrastructure experience.
  • Strong, team-oriented collaborator, with confidence and flexibility to perform in nimble, rapidly changing and growing environments.
  • Proven ability to manage complex projects and a track record of building new or improving existing programs or processes, preferably in a fast-paced environment.
  • Strong contract drafting and risk mitigation experience.
  • Ability to advise on emerging technologies.
  • Ability to work in a cross-functional environment.

Total Rewards/Benefits:
For decades, Bechtel has worked to inspire the next generation of employees and beyond! Because our teams face some of the world's toughest challenges, we offer robust benefits to ensure our people thrive. Whether it is advancing careers, delivering programs to enhance our culture, or providing time to recharge, Bechtel has the benefits to build a legacy of sustainable growth. Learn more at Bechtel Total Rewards
Diverse teams build the extraordinary:
As a global company, Bechtel has long been home to a vibrant multitude of nationalities, cultures, ethnicities, and life experiences. This diversity has made us a more trusted partner, more effective problem solvers and innovators, and a more attractive destination for leading talent.
We are committed to being a company where every colleague feels that they belong-where colleagues feel part of "One Team," respected and rewarded for what they bring, supported in pursuing their goals, invested in our values and purpose, and treated equitably. Click here to learn more about the people who power our legacy.
Bechtel is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity and expression, age, national origin, disability, citizenship status (except as authorized by law), protected veteran status, genetic information, and any other characteristic protected by federal, state or local law. Applicants with a disability, who require a reasonable accommodation for any part of the application or hiring process, may e-mail their request to acesstmt@bechtel.com

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