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Part Time Remote Machine Learning Jobs in California

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 ...

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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 ...

High School Math Tutor

San Jose, CA · Remote

$20 - $25/hr

Job type: Part-Time (less than 20hrs/week) Location: Remote Intended Start Date: As soon as ... learning services through science and technology. At Think Academy, we provide full cycle service ...

1 on 1 AMC 8 Tutor

San Jose, CA · Remote

$20 - $25/hr

Job type: Part-Time (less than 20hrs/week) Location: Remote Intended Start Date: As soon as ... learning services through science and technology. At Think Academy, we provide full cycle service ...

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Part Time Remote Machine Learning information

Will MLE be replaced by AI?

Machine Learning Engineers (MLEs) design, develop, and maintain AI and machine learning systems. While AI automation tools can handle some tasks, MLEs are essential for creating, tuning, and overseeing complex models, making complete replacement unlikely in the near term. Their expertise in data handling, model optimization, and deployment remains critical in AI development environments.

How to make $1000 a week remotely?

A part-time remote machine learning role can generate $1000 weekly by working on high-demand projects, leveraging skills in programming, data analysis, and model development. Earning this amount typically requires consistent effort, specialized knowledge, and possibly multiple freelance or contract assignments, often with flexible schedules and the use of online platforms to find opportunities.

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 are part time remote machine learning jobs?

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 engineer makes $500,000 a year?

Senior machine learning engineers with extensive experience, advanced skills in deep learning, and strong contributions to high-impact projects can earn salaries approaching or exceeding $500,000 annually, especially in top tech companies or through equity and bonuses. Such roles often require advanced degrees, specialized knowledge, and a track record of innovation in AI and data science.

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.

How to make 2000 a week working from home?

A part-time remote machine learning role can potentially generate $2,000 weekly if you have advanced skills, relevant experience, and access to high-paying projects or freelance platforms. Building a strong portfolio, specializing in in-demand areas like deep learning or NLP, and leveraging platforms such as Upwork or Toptal can help achieve this income level. Consistent effort, continuous learning, and effective client management are essential for reaching such earnings.
What are the most commonly searched types of Remote Machine Learning jobs in California? The most popular types of Remote Machine Learning jobs in California are:
What are popular job titles related to Part Time Remote Machine Learning jobs in California? For Part Time Remote Machine Learning jobs in California, the most frequently searched job titles are:
What job categories do people searching Part Time Remote Machine Learning jobs in California look for? The top searched job categories for Part Time Remote Machine Learning jobs in California are:
What cities in California are hiring for Part Time Remote Machine Learning jobs? Cities in California with the most Part Time Remote Machine Learning job openings:
Infographic showing various Part Time Remote Machine Learning job openings in California as of July 2026, with employment types broken down into 100% Part Time. Highlights an 100% Remote job distribution.
Adjunct Instructor of First Year Experience - Psychology

Adjunct Instructor of First Year Experience - Psychology

Chess

San Jose, CA • On-site, Remote

Part-time

Retirement

Re-posted 2 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-weeklyprovided that all payroll forms are signedin a timely manner. Adjunct faculty are paid ateither $801 percredit 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 is required (preferably in psychology, sociology, human services, business, or closely related field).
  • Preference will be given to candidates with prior teaching experience.
  • 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.

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.