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Part Time Neural Networks Jobs (NOW HIRING)

Uottawa

APTPUO Fall 2026- DTI 6220

Campus, IL · On-site

$239.47/hr

Professeur a temps-partiel regulier / Regular Part-Time Professor Date Posted (YYYY/MM/DD): 2026/05 ... trees, neural networks, and regression analysis. Additional Information and/or Comments: An ...

Mayo Clinic

Data Science Analyst

Phoenix, AZ · On-site

$99K - $148K/yr

... neural networks, decision trees, clustering, pattern recognition, probability theory and data ... Part Time Hours/Pay Period 20 Schedule Details Schedule will vary - On-site expectations and ...

George Mason University

Monday & Wednesday, 2pm-3:15pm About the Position This is a part-time, non-tenure track position ... neural networks to advanced language and foundation models. Coursework-including projects ...

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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Part Time Neural Networks jobs near you
Infographic showing various Part Time Neural Networks job openings in the United States as of May 2026, with employment types broken down into 1% As Needed, 59% Full Time, and 40% Part Time. Highlights an 71% Physical, 3% Hybrid, and 26% Remote job distribution.
Research Assistant (Maoz - 3mo)

Research Assistant (Maoz - 3mo)

Chapman University

Orange, CA • On-site

$18 - $20/hr

Part-time

Posted 5 days ago

Chapman University rating

7.4

Company rating: 7.4 out of 10

Based on 9 frontline employees who took The Breakroom Quiz

283rd of 534 rated colleges and universities

Job description

Position Information
Position Title Research Assistant (Maoz - 3mo) Position Type Limited-Term Job Number SA81224 Full or Part Time part-time 0-19 hours weekly Fair Labor Standard Act Classification Non-Exempt Anticipated Pay Range $18.00 - $20.00 Pay Range Information
Chapman University is required to provide a reasonable estimate of the compensation range for this position. This range takes into account a variety of factors that are considered in making compensation decisions, including experience, skills, knowledge, abilities, education, licensure and certifications, and other business and organizational needs. Salary offers are determined based on the final candidate's qualifications and experience, as well as internal equity and other internal factors. The anticipated pay range is not a promise of a particular wage.
Position Summary Information
Job Description Summary
Under the direction and supervision of the Principal Investigator, the Research Assistant will provide research support to ongoing projects and grants related to mechanistic interpretability of large language models and its connections to neuroscience. Responsibilities include construction of datasets required to study language models and implementation of novel methodologies for parsing the internals of AI systems. The Research Assistant will also conduct literature reviews on AI alignment, explainability, and safety. Additional responsibilities include interacting with high performance compute resources to produce benchmarks for proposed methodologies. This position also involves collaborative software development and research documentation; possibly assisting with preparation of presentations, grant materials, and academic manuscripts; and supporting collaborative research activities within an interdisciplinary team.
Responsibilities
Research Activities
  • Independently perform research-related activities supporting projects in mechanistic interpretability of large language models.
  • Assist with implementation of algorithms related to AI explainability.
  • Interact with compute resources to validate and iterate upon proposed methodologies.
  • Analyze advanced AI systems with respect to intentions, deception, alignment faking, and related phenomena.
  • Conduct literature reviews and synthesize findings relevant to AI alignment, explainability, and safety.
Research Documentation and Dissemination
  • Construct technical documentation for software and proposed machine learning methods.
  • Utilize source control software for collaboration and reproducibility of research work.
  • Assist with preparing presentations, research reports, grant materials, and academic manuscripts when needed.
  • Compile and organize research findings for internal and external dissemination.
  • Collaborate with interdisciplinary team members to support ongoing research initiatives.

Required Qualifications
  • Baseline proficiency with concepts surrounding neural networks and large language models.
  • Minimal level of prior research experience, including knowledge of research methods and terminology
  • Analytical skills including the ability to define problems through research and fact finding
  • Ability to communicate clearly and effectively both verbally and in writing
  • Ability to work collaboratively as a supportive member of an interdisciplinary research team
  • Ability to work independently and manage research tasks with minimal supervision
Desired Qualifications
  • High School Diploma or GED and/or equivalent combination of education and work experience in machine learning, mathematics, computer science, psychology, neuroscience, or related fields
  • Working knowledge of LaTeX for typesetting technical documentation and academic manuscripts
  • Experience using PyTorch and NumPy to implement AI systems
  • Experience with source control software for collaborative software development
  • Prior work or research experience in mechanistic interpretability of large language models
Special Instructions to Applicants
Chapman University is an equal opportunity employer that provides equal employment opportunities to all individuals, regardless of their protected characteristics.  All qualified applicants and employees are encouraged to apply and will receive consideration for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, gender expression, national origin, ancestry, citizenship status, physical disability, mental disability, medical condition, military and veteran status, marital status, pregnancy, genetic information or any other characteristic protected by state or federal law.
Applicants for Staff and Administrator positions must be currently authorized to work in the United States on a full-time basis. 
The offer of employment is contingent upon satisfactory completion and outcomes of a criminal background screening and returning to the Office of Human Resources a signed original acceptance of the Chapman University Agreement to Arbitrate.
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