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Part Time Neural Networks Jobs (NOW HIRING)

Booz Allen Hamilton, Inc.

AI/ML Engineer

Arlington, VA · On-site

$77K - $176K/yr

Experience with project work in deep learning, computer vision, neural networks, NLP, or signal ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Micron Technology

Principal ASIC Engineer

San Jose, CA · On-site

$233K - $336K/yr

... in neural networks. Perform design verification using a variety of methodologies, flows, and ... May telecommute part-time. Employer will accept a Bachelor's degree in Electronics Engineering ...

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Part Time Neural Networks information

What is the difference between Part Time Neural Networks vs Part Time Data Analysts?

AspectPart Time Neural NetworksPart Time Data Analysts
Required CredentialsKnowledge of machine learning, programming, and neural network frameworksStatistical skills, data visualization, and basic programming
Work EnvironmentTech companies, research labs, or freelance projectsBusiness, finance, marketing, or healthcare sectors
Industry UsageAI development, research, and machine learning applicationsData interpretation, reporting, and decision support
Search & Comparison IntentUnderstanding roles involving neural network modelingAnalyzing data to inform business decisions

Part Time Neural Networks focus on developing and training neural network models, requiring technical skills in machine learning and programming. In contrast, Part Time Data Analysts interpret data sets to generate insights, often using statistical tools. Both roles are essential in data-driven industries but differ in technical complexity and application focus.

What are part-time neural networks jobs?

Part-time neural networks jobs involve working with artificial neural networks on a part-time basis, typically supporting tasks like data preprocessing, model training, evaluation, or deployment. These roles are common in research, startups, or companies needing flexible expertise in AI and machine learning. Responsibilities often include developing neural network models, analyzing datasets, and collaborating with teams to solve specific problems using deep learning techniques. Part-time positions allow professionals to balance other commitments while contributing to neural network projects.

What are some common challenges faced by part-time professionals working with neural networks, and how can they overcome them?

Part-time neural network professionals often encounter the challenge of staying up-to-date with rapidly evolving technologies and best practices while managing limited hours. Additionally, collaborating with full-time team members can require effective communication to ensure continuity on projects. To overcome these challenges, it's helpful to set clear expectations with your team, use project management tools to track progress, and allocate time each week to learn about the latest advancements in neural networks. Regular check-ins and documentation can also help bridge any gaps that may arise due to part-time scheduling.

What are the key skills and qualifications needed to thrive as a Neural Networks Engineer, and why are they important?

To thrive as a Neural Networks Engineer, you need a strong foundation in mathematics, programming (especially Python), and deep learning concepts, usually supported by a degree in computer science or a related field. Familiarity with tools and frameworks like TensorFlow, PyTorch, and Keras, as well as experience with cloud platforms, is typically required. Problem-solving abilities, attention to detail, and strong communication skills help set top professionals apart in this field. These skills are crucial for designing, implementing, and optimizing neural network models that drive effective AI solutions.
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What job categories do people searching Part Time Neural Networks jobs look for? The top searched job categories for Part Time Neural Networks jobs are:
Part Time Neural Networks jobs near you
Infographic showing various Part Time Neural Networks job openings in the United States as of June 2026, with employment types broken down into 59% Full Time, 36% Part Time, and 5% Contract. Highlights an 71% Physical, 2% Hybrid, and 27% Remote job distribution.
Course Author Position: Online Master's Degree in Artificial Intelligence

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

DigiPen

Redmond, WA • On-site

$10K - $10K/mo

Part-time

Posted 11 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.

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