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Part Time Tensorflow Jobs in Seattle, WA (NOW HIRING)

Part Time Tensorflow information

See Seattle, WA salary details

$42.7K

$139.7K

$223.6K

How much do part time tensorflow jobs pay per year?

As of Jun 14, 2026, the average yearly pay for part time tensorflow in Seattle, WA is $139,680.00, according to ZipRecruiter salary data. Most workers in this role earn between $112,100.00 and $154,800.00 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.
What are the most commonly searched types of Tensorflow jobs in Seattle, WA? The most popular types of Tensorflow jobs in Seattle, WA are:
What are popular job titles related to Part Time Tensorflow jobs in Seattle, WA? For Part Time Tensorflow jobs in Seattle, WA, the most frequently searched job titles are:
Course Author Position: Online Master's Degree in Artificial Intelligence

Course Author Position: Online Master's Degree in Artificial Intelligence

DigiPen Institute of Technology

Redmond, WA • On-site

$10K - $10K/mo

Part-time

Posted 24 days ago


Job description

Located in Redmond, Washington, DigiPen Institute of Technology is a private college that offers undergraduate degree programs in Computer Science, Game Design, Digital Audio and Music, and Digital Art and Animation, as well as Master's degree programs in Computer Science and Digital Art.
DigiPen Institute of Technology has been ranked one of the top 5 game design schools in the country by the Princeton Review for more than a decade. To learn more, visit: https://www.digipen.edu/ .
Adjunct Faculty - Course Author Position: Online Master's Degree in Artificial Intelligence
Position Type
Adjunct Faculty as Course Authors for the program.
Position Overview
DigiPen is seeking experienced and passionate practitioners in Artificial Intelligence to develop / author courses for our online Master of Science in Artificial Intelligence (MSAI) program. This is an exciting opportunity to shape the next generation of AI practitioners and contribute to a cutting-edge curriculum that prepares students for leadership roles in the rapidly evolving field of artificial intelligence.
About the Program
Our online MSAI program combines rigorous academic foundations with practical, industry-relevant applications. Students engage with state-of-the-art techniques in machine learning, deep learning, natural language processing, computer vision, and ethical AI development. The program is designed for working professionals and recent graduates seeking to advance their careers in AI.
Key Responsibilities
- Course Authoring
  • Collaborate with a professional Instructional Designer to develop engaging, high-quality online instruction in one or more AI-related courses
  • Develop and update course materials, including lectures, tutorials, assignments, projects, and assessments
  • Ensure course content is technically accurate, industry-relevant, and appropriate for an online learning environment

- Course Quality & Alignment
  • Stay current with developments in AI technology, pedagogy, and industry applications
  • Provide periodic updates as necessary to keep the course material current
  • Collaborate with faculty colleagues to maintain curriculum quality and coherence
  • Contribute to program assessment and continuous improvement efforts

Required Qualifications
  • Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a closely related field
  • Minimum 4 years of relevant professional experience in AI/ML (development or applied research)
  • Strong expertise in at least one of the following areas: machine learning, deep learning, natural language processing, computer vision, reinforcement learning, or AI ethics
  • Proficiency with Python and major AI/ML frameworks (PyTorch, TensorFlow, scikit-learn etc.)
  • Excellent communication skills and ability to explain complex technical concepts clearly

Preferred Qualifications
  • Demonstrated teaching experience
  • Experience with online learning platforms and virtual instruction methodologies
  • Experience teaching in online or hybrid learning environments
  • Proven ability to engage and support diverse student populations
  • Published research in AI-related conferences or journals
  • Experience mentoring graduate students or early-career professionals
  • Contributions to open-source AI projects or educational resources
  • Knowledge of current trends in responsible AI and ethical considerations in AI development

Desired Areas of Course Development
  • Foundations of Machine Learning
  • Deep Learning and Neural Networks
  • Natural Language Processing
  • Computer Vision
  • Reinforcement Learning
  • AI Ethics and Responsible AI
  • Generative AI and Large Language Models
  • AI for Business Applications
  • Advanced Topics in AI Research

Salary Range:
$10,000 - $10,500
Not benefits eligible.
This Course Author job may not align with the academic calendar. The duration of the position may vary, based on rate of progress and time of year, but will typically be five months from start date.
Application Procedure:
Applications should include, or you will be asked to provide, the following:
  • A cover letter
  • Current curriculum vitae / résumé
  • Academic Transcripts of most recently attended educational institutions (unofficial is acceptable for the application, with an official copy requested later)

The following optional materials may be included:
  • Statement of teaching philosophy
  • Copy of most recent teaching evaluations

Upon accepting an offer of employment with us, the candidate will receive an invitation for a required background check, employment verification, and 5-panel drug screen as a part of the hiring process.
Additional Notes:
All Adjunct positions are part-time, temporary assignments, dependent upon student enrollment and instructional needs, and subject to budget consideration and approval. DigiPen Institute of Technology reserves the right to extend application deadlines and/or not to offer advertised positions.
Equal opportunity is a priority of DigiPen Institute of Technology, as the institution is committed to fostering a positive learning environment for all. The Institute's intent is to hire the most qualified individuals for faculty and staff, attracting candidates from diverse backgrounds of race and ethnicity, gender, gender identity, gender expression, sexual orientation, age, socioeconomic status, veteran status, nationality, culture, religion, and physical abilities. We are committed to broadening our candidate pool to include more diverse individuals and ensuring fairness in hiring by avoiding bias and determining criteria to judge all candidates prior to posting each new position.
Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws.
For further information, please review the Know Your Rights notice from the Department of Labor.