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Part Time Tensorflow Jobs (NOW HIRING)

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AI Engineer (US-Based / Part-Time)

Hands-on experience with PyTorch, TensorFlow, or similar ML frameworks. * Strong Python development ... Flexible part-time schedule. * Remote work within the United States. * Flexible vacation policy.

The Pennsylvania State University

$57/hr

... for a part-time programmer. The role: Help us build a focused, sharp system that turns peer ... Python 3.x; modern NLP/ML (PyTorch or TensorFlow, Hugging Face, scikit-learn); data/ETL tooling ...

The Pennsylvania State University

$21/hr

AND POSITION REQUIREMENTS The Department of Computer Science and Engineering is seeking part-time ... Experience with at least one deep learning framework such as PyTorch or TensorFlow * Understanding ...

The Pennsylvania State University

$21/hr

AND POSITION REQUIREMENTS The Department of Computer Science and Engineering is seeking part-time ... Experience with at least one deep learning framework such as PyTorch or TensorFlow * Understanding ...

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How much do part time tensorflow jobs pay per year?

As of Jul 5, 2026, the average yearly pay for part time tensorflow in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What are part-time TensorFlow jobs?

Part-time TensorFlow jobs are positions that involve working with the TensorFlow machine learning framework on a reduced or flexible schedule, rather than full-time hours. These roles may include tasks such as developing, training, and deploying machine learning models, often for specific projects or short-term needs. Part-time TensorFlow jobs are ideal for students, freelancers, or professionals seeking flexible work arrangements while applying their expertise in artificial intelligence and deep learning.

What are some common challenges faced by part-time TensorFlow developers, and how can they overcome them?

Part-time TensorFlow developers often face challenges such as staying up-to-date with rapid advancements in machine learning, managing time effectively to meet project deadlines, and integrating their work with full-time team members. To overcome these, it’s helpful to maintain clear communication with the team, prioritize continuous learning through online resources, and use collaborative tools like Git for version control. Additionally, participating in regular code reviews and team meetings ensures alignment and smooth integration of your contributions.

What are the key skills and qualifications needed to thrive as a Part-Time TensorFlow Developer, and why are they important?

To excel as a Part-Time TensorFlow Developer, you need a solid grounding in Python programming, mathematics, and machine learning principles, often demonstrated by a relevant degree or coursework. Familiarity with TensorFlow, Keras, and tools like Jupyter Notebook or Git is typically required, and certifications in TensorFlow or related AI technologies are advantageous. Strong problem-solving, time management, and clear communication skills help you deliver quality results efficiently, especially in a part-time capacity. These competencies ensure effective model development and deployment, as well as smooth collaboration on distributed or flexible teams.
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Part Time Tensorflow 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 19 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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