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Part Time Asynchronous Jobs in California (NOW HIRING)

THIS IS A PART-TIME POSITION THAT WILL LIKELY PAY $20-$25/HOUR This is a part-time hourly position ... Provides rich and engaging synchronous and asynchronous learning experiences for students.

THIS IS A PART-TIME POSITION THAT WILL LIKELY PAY $20-$25/HOUR This is a part-time hourly position ... Provides rich and engaging synchronous and asynchronous learning experiences for students.

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Part Time Asynchronous information

See California salary details

$5

$15

$30

How much do part time asynchronous jobs pay per hour?

As of Jun 29, 2026, the average hourly pay for part time asynchronous in California is $15.09, according to ZipRecruiter salary data. Most workers in this role earn between $10.19 and $17.07 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Part Time Asynchronous Instructor, and why are they important?

To thrive as a Part Time Asynchronous Instructor, you need subject matter expertise, instructional design knowledge, and at least a bachelor’s degree in the relevant field. Familiarity with learning management systems (LMS) such as Canvas or Blackboard and online content creation tools is typically required. Strong time management, self-motivation, and effective written communication are crucial soft skills for supporting students remotely. These skills enable instructors to deliver high-quality, engaging learning experiences and provide timely feedback in flexible online environments.

How do part-time asynchronous roles typically structure communication and collaboration with team members?

In part-time asynchronous roles, communication is primarily handled through digital platforms like email, project management tools, and messaging apps to accommodate varying schedules. Team members often document progress, updates, and questions in shared spaces so everyone can stay informed regardless of working hours. Regular check-ins or status updates are usually scheduled, but live meetings are kept to a minimum. This setup requires strong written communication skills and self-motivation, as you may have to wait for responses from colleagues working different hours.

What is a part-time asynchronous job?

A part-time asynchronous job is a position where employees work part-time hours and do not need to be online or present at the same time as their colleagues or supervisors. Instead, tasks are completed independently and communication happens through emails, project management tools, or recorded messages. This setup provides flexibility, allowing workers to choose when they complete their work within set deadlines. Asynchronous jobs are common in roles like content writing, programming, or customer support, where real-time collaboration is not always necessary.

What is the difference between Part Time Asynchronous vs Part Time Synchronous?

AspectPart Time AsynchronousPart Time Synchronous
Work EnvironmentFlexible, independent, self-pacedReal-time, scheduled interactions
Required CredentialsTypically minimal; depends on industrySimilar to asynchronous; often similar credentials
Employer UsageEducational, freelance, online platformsEducational, customer support, remote teams
Search & Comparison IntentFlexibility, self-paced workReal-time communication, scheduled work

Part Time Asynchronous jobs offer flexible, self-paced work environments, ideal for those seeking independence. In contrast, Part Time Synchronous roles require scheduled, real-time interactions. Both share similar credentials depending on the industry but differ mainly in work structure and communication style.

What are the most commonly searched types of Asynchronous jobs in California? The most popular types of Asynchronous jobs in California are:
What are popular job titles related to Part Time Asynchronous jobs in California? For Part Time Asynchronous jobs in California, the most frequently searched job titles are:
What job categories do people searching Part Time Asynchronous jobs in California look for? The top searched job categories for Part Time Asynchronous jobs in California are:
Infographic showing various Part Time Asynchronous job openings in California as of June 2026, with employment types broken down into 5% As Needed, 67% Full Time, 18% Part Time, 5% Temporary, and 5% Contract. Highlights an 76% Physical, 2% Hybrid, and 22% Remote job distribution, with an average salary of $31,391 per year, or $15.1 per hour.
Temporary Micro-Credential Grader - JSD- Microcredential Grader-AI Fundamentals for STEM Professi...

Temporary Micro-Credential Grader - JSD- Microcredential Grader-AI Fundamentals for STEM Professi...

Brandeis University

Brandeis, CA • Remote

$25 - $30/hr

Part-time

Posted 16 hours ago


Key responsibilities

  • Evaluate learner submissions of the AI Workflow Project, which include a real-world STEM challenge, an AI-powered solution, and a complete 5-step workflow design.

  • Apply structured rubrics to assess mastery of skills such as supervised learning, data preprocessing, model selection, and interpretability.

  • Participate in calibration exercises with fellow graders to ensure consistency in evaluating technical artifacts and conceptual reasoning.


Job description

Position: Micro-Credential Grader-AI Fundamentals for STEM Professionals
Location: Fully remote (U.S.-based applicants only, no visa sponsorships)
Division: Rabb School of Continuing Studies, Brandeis University
Type: Part-Time, 4 months, varying hours, no more than 25 hours per week
Compensation: Hourly $25-$30
Reports to: Assistant Dean of Education and Learning Innovation


Brandeis University's Rabb School of Continuing Studies is seeking a detail-oriented STEM professional to serve as a Micro-Credential Grader for the online asynchronous credential, AI Fundamentals for STEM Professionals.


In this fully remote, short-term hourly position, you'll evaluate learner submissions that demonstrate mastery of AI concepts through a real-world STEM challenge and a complete 5-step workflow design. This project-based credential equips professionals with foundational skills in supervised learning, data preprocessing, model selection, and ethical AI deployment. As a grader, you'll apply structured rubrics to assess technical accuracy, conceptual depth, and responsible innovation.


This role offers a unique opportunity to contribute to a high-impact, workforce-aligned credential that bridges STEM expertise with emerging AI capabilities.


What You Will Do:

  • Evaluate learner submissions of the AI Workflow Project, which include a real-world STEM challenge, an AI-powered solution, and a complete 5-step workflow design.

  • Apply structured rubrics to assess mastery of skills such as supervised learning, data preprocessing, model selection, and interpretability.

  • Participate in calibration exercises with fellow graders (if needed) to ensure consistency in evaluating technical artifacts and conceptual reasoning.

  • Maintain confidentiality and objectivity throughout the grading process

What You Bring:

  • Bachelor's degree required; Master's degree preferred in Computer Science, Data Science, Engineering, or related STEM disciplines.

  • Subject-matter expertise in foundational AI concepts, including machine learning, data analysis, and ethical considerations in AI deployment.

  • Experience in academic assessment, workforce development, or digital learning preferred.

  • Familiarity with learning management systems (Moodle preferred), online credentialing platforms, and collaborative grading workflows.

  • Professional, learner-centered approach with a commitment to academic integrity and continuous improvement. Proficient in rubric-based assessment and competency validation, especially for technical and project-based submissions.

  • Strong attention to detail and ability to maintain consistency across diverse submissions.

  • Excellent written communication skills for delivering constructive, learner-focused feedback.

  • Comfortable working in asynchronous learning environments and using digital platforms.

  • Adaptability in managing multiple grading tasks within deadlines.

Pay Range Disclosure

The University's pay ranges represent a good faith estimate of what Brandeis reasonably expects to pay for a position at the time of posting. The pay offered to a selected candidate during hiring will be based on factors such as (but not limited to) the scope and responsibilities of the position, the candidate's work experience and education/training, internal peer equity, and applicable legal requirements.

Equal Opportunity Statement

Brandeis University is an equal opportunity employer which does not discriminate against any applicant or employee on the basis of race, color, ancestry, religious creed, gender identity and expression, national or ethnic origin, sex, sexual orientation, pregnancy, age, genetic information, disability, caste, military or veteran status or any other category protected by law (also known as membership in a "protected class").