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Part Time Artificial Intelligence Machine Learning Jobs in Sunnyvale, CA

SLB

AI Solutions Architect

Menlo Park, CA · On-site

$228K - $231K/yr

Full-time or part-time: Full-time Job title: AI Solutions Architect Job Location: 640 W California ... Participate in data science, artificial intelligence, machine learning, and industrial analytics ...

Matroid

Vision Application Technician

Palo Alto, CA · On-site

$35 - $40/hr

You have experience in computer vision, artificial intelligence, machine learning, or a related field. * You have prior experience in solutions, sales engineering, or other customer-facing technical ...

Walmart

Staff, Machine Learning Engineer

Sunnyvale, CA · On-site

$130K - $260K/yr

We are looking for a strong Staff Machine Learning Engineer who has the passion to develop AI ... part-time associates in Walmart and Sam's Club facilities. Programs range from high school ...

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Part Time Artificial Intelligence Machine Learning information

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How much do part time artificial intelligence machine learning jobs pay per hour?

As of Aug 24, 2026, the average hourly pay for part time artificial intelligence machine learning in Sunnyvale, CA is $30.92, according to ZipRecruiter salary data. Most workers in this role earn between $25.10 and $32.74 per hour, depending on experience, location, and employer.

What is a part time artificial intelligence machine learning job?

A Part Time Artificial Intelligence (AI) Machine Learning (ML) job involves working fewer hours than a full-time position, typically focusing on tasks related to building, training, and evaluating AI and ML models. These roles may include data preprocessing, developing algorithms, testing models, or assisting with research and development. Part-time AI/ML positions are ideal for students, professionals seeking flexible work schedules, or those looking to gain experience in the field while balancing other commitments. Responsibilities and required skills can vary depending on the employer and the specific project needs.

What are some typical projects or tasks assigned to part time artificial intelligence machine learning professionals?

Part-time Artificial Intelligence Machine Learning professionals are often tasked with supporting ongoing model development, data preprocessing, and conducting exploratory data analysis. They may assist in training and evaluating models, annotating datasets, and preparing technical documentation. Collaboration is common with full-time team members, including data scientists, engineers, and project managers, to ensure smooth integration and deployment of models. These roles can offer exposure to real-world AI challenges without the commitment of a full-time position.

What are the key skills and qualifications needed to thrive as a part time artificial intelligence machine learning professional, and why are they important?

To thrive as a Part Time Artificial Intelligence Machine Learning professional, you typically need a solid background in mathematics, statistics, programming (often Python), and a relevant degree or coursework in computer science or data science. Familiarity with machine learning frameworks such as TensorFlow or PyTorch, experience with data analysis tools, and sometimes certifications like Google AI or AWS Machine Learning are highly valued. Critical thinking, problem-solving, and effective communication are essential soft skills for translating complex technical findings into actionable insights and collaborating with cross-functional teams. These skills and qualifications ensure the ability to develop robust AI solutions efficiently and contribute meaningfully to projects, even in a part-time capacity.

What are the most commonly searched types of Artificial Intelligence Machine Learning jobs in Sunnyvale, CA?

The most popular types of Artificial Intelligence Machine Learning jobs in Sunnyvale, CA are:

What are popular job titles related to Part Time Artificial Intelligence Machine Learning jobs in Sunnyvale, CA?

For Part Time Artificial Intelligence Machine Learning jobs in Sunnyvale, CA, the most frequently searched job titles are:

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The top searched job categories for Part Time Artificial Intelligence Machine Learning jobs in Sunnyvale, CA are:

What cities near Sunnyvale, CA are hiring for Part Time Artificial Intelligence Machine Learning jobs?

Cities near Sunnyvale, CA with the most Part Time Artificial Intelligence Machine Learning job openings:

Part Time Artificial Intelligence Machine Learning jobs near you
Infographic showing various Part Time Artificial Intelligence Machine Learning job openings in Sunnyvale, CA as of August 2026, with employment types broken down into 5% Full Time, and 95% Part Time. Highlights an 100% In-person job distribution, with an average salary of $64,320 per year, or $30.9 per hour.

Hybrid Visiting of Artificial Intelligence

DeVry University

San Jose, CA • On-site

Part-time

Retirement

Re-posted 23 hours ago

DeVry University rating

8.5

Company rating: 8.5 out of 10

Based on 13 frontline employees who took The Breakroom Quiz

82nd of 622 rated colleges and universities

Job description

Position requires onsite teaching in the San Francisco Bay Area and a relevant Master's Degree.
DeVry University strives to close our society's opportunity gap and address emerging talent needs by preparing learners to thrive in careers shaped by continuous technological change. Through innovative programs, relevant partnerships, and exceptional care, we empower students to meaningfully improve their lives, communities, and workplaces.
Opportunity:
DeVry University focuses on developing long-term relationships with superior instructors who have high professional standards, excellent communication skills, enthusiasm and a commitment to providing the finest practitioner-focused education. We are seeking primarily industry professionals to teach and share their knowledge and experience with undergraduate and graduate students in a variety of fields.
  • Courses meet once or twice a week for eight weeks.
  • Face-to-face interaction is blended with technology (such as online discussions and online assignments) for an enhanced learning environment.
  • Faculty are responsible for facilitating student learning by teaching courses and programs in accordance with DeVry University requirements.
  • Faculty develop course syllabi and lesson plans and apply teaching techniques to best achieve course and programmatic objectives.
  • All DeVry instructors will participate in a comprehensive faculty training program and ongoing faculty development activities to ensure the highest quality instruction.
  • DeVry University does not guarantee any specific number of work hours or assignments, which may vary based on the University's needs and discretion.
  • As you explore this opportunity, we invite you to view this brief video highlighting how our faculty engage in meaningful student support.

Responsibilities:
  • Develops and provides students with an approved DeVry University syllabus that follows a template established by the local campus, and which includes the terminal course objectives.
  • Organizes, prepares, and regularly revises and updates all course materials.
  • Uses appropriate technological options for online technologies and course-related software, including Websites, e-mail, and online discussions for preparing the course and making it accessible to students.
  • Models effective oral and written communications that engage the students, provide clarity, and improve student learning.
  • Sets clear expectations for the course by publishing course terminal objectives, assignment/examinations dates, and weight the distribution of various evaluation categories.
  • Ensures that the content and level of material included on exams correspond to the course terminal objectives.
  • Demonstrates consistency and fairness in the preparation and grading of exams and provides timely feedback to students.
  • Embraces and integrates the responsible use of AI technologies in the classroom to enhance teaching and learning outcomes.
  • Demonstrates the ability to recognize, evaluate, and address appropriate and inappropriate student use of AI tools in academic work.
  • Completes other duties as assigned.

Qualifications:
To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
  • A doctorate in Artificial Intelligence, Computer Science, Data Science, Information Systems, or a closely related field is required, with at least 18 graduate credit hours in artificial intelligence, machine learning, data science, or a related computational discipline.
  • Applicants must upload unofficial graduate-level transcripts with their application.
  • Degrees must be awarded by an institution accredited by an agency recognized by the U.S. Department of Education or the Council for Higher Education Accreditation, or by an international institution determined to hold equivalent accreditation.
  • Three to five years of applied professional experience in artificial intelligence, machine learning, data science, intelligent systems, or related computational technologies.
  • Demonstrated experience with AI-enabled software development, which may include machine learning pipelines, generative AI tools, data modeling, or full-stack application development integrating AI services.
  • Industry-recognized certifications or professional credentials relevant to artificial intelligence, machine learning, data science, or software development.
  • Strong subject matter expertise in AI concepts and technologies, combined with effective communication skills and the ability to explain complex technical topics to diverse learners.
  • Knowledge of ethical, responsible, and secure AI practices, including awareness of data governance, bias mitigation, and responsible AI deployment.
  • Faculty must have a commitment to ongoing professional development in instructional technology, digital literacy, and responsible AI practices.
  • Additional requirements driven by state licensing, institutional policy, or accreditation standards may apply.

Preferred Qualifications:
  • Industry certifications in Python programming, artificial intelligence, machine learning, or data science (e.g., PCEP or equivalent).
  • AI practitioner or engineer certifications (e.g., CAIP, Oracle GenAI, or comparable industry-recognized credentials).
  • Experience with AI development frameworks and tools, such as machine learning libraries, model deployment platforms, or generative AI systems.
  • Experience applying DevSecOps practices in AI or data-driven environments, including model lifecycle management and secure AI deployment.
  • Experience with programmatic or regional accreditation processes, including outcomes assessment and curriculum alignment.
  • Active membership or engagement in professional technology or AI-related organizations, contributing to ongoing industry awareness and innovation.
  • Experience integrating AI-assisted learning tools, immersive technologies, or intelligent tutoring systems into post-secondary instruction.
  • Two to five years of teaching experience at the post-secondary level, preferably in artificial intelligence, data science, programming, or emerging technology disciplines.

Pay:
Visiting Professor pay is based on level, credit hours taught per 8-week session, and location.
  • Pay in the states of AZ, CA, IN and PA is paid at an hourly rate of either $22.00/hour or $23.50/hour.

For Visiting Professor roles, we accept applications on an ongoing basis.
DeVry University offers benefit options for Visiting Professors, including:
  • 401(k) and Roth Plan
  • Paid Tuition Program
  • Remote and Flex Work Options
  • Paid Sick Time
  • Technology Stipend

We believe that a vibrant and collaborative workplace is essential to our educational mission and the success of our community. We are committed to a workplace environment where all colleagues feel valued, respected, and supported.

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