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Part Time Remote Machine Learning Jobs in Livermore, CA

Adjunct/Part Time Faculty (Fixed Term) Grade: Position Summary Adjunct faculty serve as temporary ... Remote work options for locations outside of the United States are not permitted. This position ...

Adjunct Instructor of Fire Science

San Jose, CA · On-site +1

$27.87 - $42.41/hr

Adjunct/Part Time Faculty (Fixed Term) Grade: NE15 Position Summary Adjunct faculty serve as ... Remote work options for locations outside of the United States are not permitted. Adjunct faculty ...

New

Adjunct/Part Time Faculty (Fixed Term) Grade: Position Summary Adjunct faculty serve as temporary ... Remote work options for locations outside of the United States are not permitted. This position ...

Adjunct/Part Time Faculty (Fixed Term) Grade: Position Summary Adjunct faculty serve as temporary ... Remote work options for locations outside of the United States are not permitted. This position ...

Adjunct Instructor of CDL

San Jose, CA · On-site +1

$27.85 - $41.11/hr

Adjunct/Part Time Faculty (Fixed Term) Grade: NE15 Position Summary The position will report to the ... Remote work options for locations outside of the United States are not permitted. MAJORDUTIES * The ...

Showing results 41-56

Part Time Remote Machine Learning information

See Livermore, CA salary details

$29.9K

$50K

$103.2K

How much do part time remote machine learning jobs pay per year?

As of Aug 22, 2026, the average yearly pay for part time remote machine learning in Livermore, CA is $49,950.00, according to ZipRecruiter salary data. Most workers in this role earn between $38,100.00 and $54,000.00 per year, depending on experience, location, and employer.

What is a part time remote machine learning job?

Part time remote machine learning jobs are positions where professionals work on machine learning projects or tasks for a limited number of hours per week, and do so from a location outside the traditional office environment, often from home. These roles typically involve developing, testing, or deploying machine learning models, analyzing data, and collaborating with teams online. They are ideal for people seeking flexibility, such as students, freelancers, or individuals balancing other commitments, while contributing to projects in fields like AI, data science, or analytics.

How do part time remote machine learning roles typically structure collaboration and communication with the rest of the team?

Part-time remote machine learning professionals often collaborate with teams using digital tools such as Slack, Zoom, and project management platforms like Jira or Trello. Regular check-ins, virtual stand-ups, and shared documentation ensure alignment on project goals and timelines despite differing work hours. Clear communication and proactive updates are important, as team members may be dispersed across time zones and working non-overlapping schedules. Flexibility and self-motivation are key to staying connected and contributing effectively in this distributed work environment.

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

To thrive as a Part Time Remote Machine Learning professional, you need a strong grasp of mathematics, statistics, programming (commonly Python), and a relevant educational background such as a degree in computer science or a related field. Familiarity with machine learning frameworks (e.g., TensorFlow, scikit-learn, PyTorch) and version control systems like Git is typically required. Excellent time management, self-motivation, and clear communication skills are crucial for navigating remote collaboration and project deadlines. These skills ensure that you can independently deliver high-quality ML solutions while effectively contributing to distributed teams.

What is the difference between Part Time Remote Machine Learning vs Part Time Remote Data Scientist?

AspectPart Time Remote Machine LearningPart Time Remote Data Scientist
Required CredentialsDegree in Computer Science, Data Science, or related field; knowledge of ML frameworksDegree in Statistics, Data Science, or related; strong analytical skills
Work EnvironmentRemote, flexible hours, project-basedRemote, collaborative teams, project-focused
Industry UsageTech, finance, healthcare, e-commerceTech, finance, marketing, research
Common Search IntentPart Time Remote Machine Learning jobs, freelance ML rolesPart Time Remote Data Scientist jobs, freelance data roles

Part Time Remote Machine Learning roles focus on developing algorithms and models, often requiring programming and ML frameworks. Part Time Remote Data Scientist positions involve analyzing data, creating insights, and may include statistical analysis. Both roles are remote and flexible but differ in core responsibilities and skill sets.

What are popular job titles related to Part Time Remote Machine Learning jobs in Livermore, CA?

For Part Time Remote Machine Learning jobs in Livermore, CA, the most frequently searched job titles are:

What job categories do people searching Part Time Remote Machine Learning jobs in Livermore, CA look for?

The top searched job categories for Part Time Remote Machine Learning jobs in Livermore, CA are:

What cities near Livermore, CA are hiring for Part Time Remote Machine Learning jobs?

Cities near Livermore, CA with the most Part Time Remote Machine Learning job openings:

Infographic showing various Part Time Remote Machine Learning job openings in Livermore, CA as of August 2026, with employment types broken down into 100% Part Time. Highlights an 100% Remote job distribution, with an average salary of $49,950 per year, or $24 per hour.

Adjunct Instructor for Marketing

Chess

San Jose, CA • On-site, Remote

$801/wk

Part-time

Retirement

Re-posted 13 days ago


Job description

Compensation:

$801 per credit hour

CompensationType:

Exempt

Employment Type:

Adjunct/Part Time Faculty (Fixed Term)

Grade:

Position Summary

Adjunct faculty serve as temporary part-time faculty and are appointed as needed on a semester by semester basis. The primary duty is effective teaching of college-level courses and/or labs in the qualified discipline.
San Juan College may approve remote or hybrid work for adjunct employees within New Mexico, Arizona, Colorado and Texas (states subject to change at any time). All requests for remote work must be approved in advance by the Dean and Human Resources. Remote work options for locations outside of the United States are not permitted.

This position reports to the Dean and is responsible for developing and revising instructional materials; presenting material in an organized manner; evaluating student learning; maintaining student records; teaching day, evening, weekend, and on-line classes, as assigned; teaching at the main and/or satellite campuses, as assigned; maintaining a minimum of 1 office hour per week per assigned course; participating in Adjunct Professional Development activities; demonstrating and promoting the school values of: Innovation, Collaboration, Accountability, Respect and Excellence.

Successful candidates must have a master's degree with at least 18 graduate credit hours in a relevant field of study from an accredited college or university. Preference will be given to candidates with prior teaching experience.
Experience with traditional face-to-face, hybrid and online courses and the ability to use San Juan College's Learning Management System (Canvas) as well as technology-enhanced curriculum. Access tohomeinternet, a personal computer, and telephone is required.
Demonstrates skill and willingness to learn and use multiple technology platforms to communicate with students.

  • Adjunct faculty are hired on a semester basis, depending upon the instructional needsidentifiedfor each semester. Such services shall be compensated on a credit hour or contact hour basis, dependent upon the position.

  • It is the policy of San Juan College that adjunct faculty may teach no more than 9 credit hours per semester, except upon approval by the Vice-President of Learning and the Vice-President of HR and Legal Activities.

Payroll and Benefits:

  • Adjunct faculty are paidbi-weekly ateither $801percredit hour, or at an hourly rate as applicable.

  • Adjunct faculty teaching one (1) credit class or more are eligible for the tuition waiver benefit. Tuition may be waived for one class, up to four (4) credit hours per semester, andany one(1) credit HHPC Fitness Conditioning class for each semester they are employed. This tuition waiver benefit may be transferred to a qualified family member for the semester they are employed. If transferring to a qualified family member, proof of family status isrequired(i.e., marriage certificate,affidavitof domestic partnership or birth certificate) and must be verified by Human Resources.

Additionalbenefits available to Adjunct faculty teaching one (1) credit class or more:

  • Free Professional Development (technology training; teaching and learning seminars; learning symposiums).

  • Free Library Services (CD and DVD checkout; book and periodical checkout).

  • 403(b) participation.

  • Employee Assistance Program

  • Available 24 /7 - Provides 3 FREE sessions for services such as short-term counseling and assessments, referrals, prevention/education resources, and crisis intervention

  • Voluntary Benefits

  • Allstate/Aflac

  • Liberty Mutual

  • Adjunct faculty teaching three (3) or more credit hours will have Educational Retirement Board (ERB) contributionswithheldeach pay period. Contribution rates and retirement eligibility are available on the State of New Mexico Educational Retirement Board websitehttp://www.nmerb.org.

  • Adjunct faculty are not medical benefit eligible.State and federal taxes,FICAand social security will be withheld for all adjunct faculty.

  • Unofficial transcripts may be attached to this application. Official transcripts must be sent to Human Resources upon hire.

  • The completion of a satisfactory background check isrequired.

Qualifications

  • A master's degree or a closely related field with a minimum of 18 graduate hours in marketing or business content isrequired.

  • The successful candidate will have experience working with Native American, Latinx, and other adult/minority students; and have a strong commitment to the community college philosophy.

  • Access tohomeinternet, a personal computer, and telephone isrequired.

  • Demonstrates skill and willingness to learn and use multiple technology platforms to communicate with students. San Juan College is committed to serving the needs of our students through a process of continuous quality improvement.

The following REQUIRED documents must besubmittedwith applicationin order tobe considered. Upload all required documents under the Application Questions 2 section for "Additional Documents Required".

  • Cover Letter (Required)

  • Curriculum Vitae (CV) or Resume (Required)

  • List of 3 Supervisor References. (Required)

  • Unofficial Transcripts with qualifying degree conferred. (Required)

  • Letters of Recommendation (Optional)

EEO STATEMENT: San Juan College is dedicated to providing equal employment and educational opportunities without regard to race, color, religion, sex, national origin, disability, age, genetic, veteran's status, or on the basis of any other category protected under federal, state and local laws.