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Part Time Learning Technology Jobs (NOW HIRING)

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Appliance Sales (Part Time)

San Carlos, CA

... for learning, technology and people. As an Appliance Sales Specialist you will: *Starts at $18 per hour plus bonus Partners with other employees to ensure customers end-to-end needs for are met ...

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Adjunct Instructor - Science (part-time)

Wausau, WI · On-site

Part-time Instructors are hired on a per-course basis each semester, and teaching one semester does ... Utilize learning technology for teaching, delivery of course content, learning, assessment, online ...

Chinatown Service Center

LVN INSTRUCTOR

Los Angeles, CA · On-site

$29.40 - $33/hr

This part-time role offers an exciting opportunity to shape the next generation of healthcare ... Incorporate research findings and learning technology tools to enhance instructional methods and ...

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Part Time Learning Technology information

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$47K

$66.7K

$82.5K

How much do part time learning technology jobs pay per year?

As of Jul 11, 2026, the average yearly pay for part time learning technology in the United States is $66,698.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $74,500.00 per year, depending on experience, location, and employer.

What is the difference between Part Time Learning Technology vs Part Time Instructional Designer?

AspectPart Time Learning TechnologyPart Time Instructional Designer
Required CredentialsTypically a degree in education, instructional technology, or related fieldUsually a degree in education, instructional design, or related area
Work EnvironmentOnline platforms, educational institutions, corporate trainingEducational institutions, corporate training, e-learning companies
Employer & Industry UsageUsed by schools, universities, corporate training providersCommon in educational and corporate sectors designing learning experiences
Search & Comparison IntentPeople compare roles related to educational technology and online learningIndividuals interested in designing and developing educational content

Part Time Learning Technology focuses on implementing and managing educational tools and platforms, while Part Time Instructional Designer emphasizes creating and designing learning experiences. Both roles often overlap but serve different primary functions within educational and corporate settings.

How to make 2000 a week working from home?

A part time learning technology role can generate significant income if you have specialized skills, such as instructional design, e-learning development, or proficiency with learning management systems. Earning $2000 weekly typically requires multiple freelance projects, consistent client work, or high-demand expertise, often supplemented by certifications or experience in digital education tools. Building a strong portfolio and networking can help increase earning potential in this field.

What jobs pay 4000 a week without a degree?

Part-time learning technology roles typically do not pay $4,000 a week; high earnings in this field usually require full-time positions or specialized skills. Generally, jobs that pay this amount without a degree are rare and often involve sales, freelance consulting, or entrepreneurial ventures where income depends on performance or business success.

What hot tech job pays $775 000?

High-paying tech roles such as senior software engineers, data scientists, and machine learning engineers can earn salaries approaching or exceeding $775,000 annually, especially with experience, advanced skills, and in competitive markets. These positions often require expertise in programming, data analysis, and familiarity with cloud platforms or AI tools.

What are the easiest tech jobs to learn?

For a Part Time Learning Technology role, entry-level tech jobs such as data entry, technical support, or basic web development are often considered easier to learn due to their straightforward skills and minimal certifications. These roles typically require familiarity with common tools like spreadsheets, basic coding, or help desk software, making them accessible for beginners. Gaining foundational knowledge in these areas can help transition into more advanced technology positions over time.
More about Part Time Learning Technology jobs
What cities are hiring for Part Time Learning Technology jobs? Cities with the most Part Time Learning Technology job openings:
What are the most commonly searched types of Learning Technology jobs? The most popular types of Learning Technology jobs are:
What states have the most Part Time Learning Technology jobs? States with the most job openings for Part Time Learning Technology jobs include:
What job categories do people searching Part Time Learning Technology jobs look for? The top searched job categories for Part Time Learning Technology jobs are:
Part Time Learning Technology jobs near you
Infographic showing various Part Time Learning Technology job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 74% Full Time, 23% Part Time, 1% Temporary, and 1% Contract. Highlights an 89% Physical, 1% Hybrid, and 10% Remote job distribution, with an average salary of $66,698 per year, or $32.1 per hour.
Instructors (Part-Time), Professional and Continuing Education - Machine Learning Certificate

Instructors (Part-Time), Professional and Continuing Education - Machine Learning Certificate

University of Washington

Seattle, WA • On-site

$2.0K/wk

Part-time, Temporary

Re-posted 13 days ago

University Of Washington School Of Medicine rating

7.8

Company rating: 7.8 out of 10

Based on 9 frontline employees who took The Breakroom Quiz

180th of 552 rated colleges and universities

Job description

Description
UW Continuum College expands the reach of the University of Washington by delivering educational programs that meet the needs of learners at all phases of their lives. We're focused on removing obstacles to relevant educational opportunities by addressing geographic, financial, length of commitment, and time constraints, increasing access to knowledge for more people. By looking ahead and experimenting with new approaches, we're creating new educational opportunities to help people thrive in a world of change.
UW Continuum College (UWC2) has a range of outstanding opportunities for part-time instructors in the Professional & Continuing Education (PCE) Machine Learning certificate program. Applicants will be considered for courses occurring October 2026 through September 2027.
Instructors serve a key role in certificate programs, engaging with students, serving as subject matter experts, presenting learning content, and assessing whether learners have achieved course competencies. PCE students consistently say that the instructor is the single most important element of their course.
The pay range for these instructor positions is $2,000 per CEU* per course, commensurate with experience and qualifications. *Continuing Education Credits (CEU) information for individual courses may be found on our website. Courses in the Machine Learning certificate program are 3 CEUs or 3.6 for the Deep Learning course
Professional and Continuing Education Instructors...
  • Teach to a curriculum plan with clear learning outcomes and competencies as outlined by the program manager.
  • Customize course content and lesson slides, while aligning with learning objectives set, for the course they are scheduled to teach; Instructors are encouraged to personalize the curriculum to their teaching style and work experience in the program.
  • Teach all class sessions at the scheduled time.
  • Provide a responsive and supportive environment to student questions and concerns and provide feedback in a timely manner. This is achieved in combination with the instructional assistant and program manager, as necessary.
  • Complete instructor onboarding, relevant learning technology training, and other training as required.
  • Observe FERPA, HIPAA, and other privacy laws and policies.
  • Instructors are part of a team, including other instructors, program manager, IAs and advisors who play their role in maintaining the quality and relevance of the program. Instructors may be requested to participate in such activities outside of teaching and training. Instructors are encouraged to assist in promoting the program to increase awareness as they can do per their discretion and comfort.

PCE courses are generally 10 weeks in duration and align with the UW academic quarter calendar. The Machine Learning certificate program is delivered entirely online using Zoom. Classes meet in the evenings, 6-9pm PST, once per week. Information on PCE certificate program may be found at https://www.pce.uw.edu/certificates/machine-learning.
UWC2 Extension Lecturers / Instructors are Academic Staff, not faculty. These are part-time, temporary positions.
Qualifications
MINIMUM QUALIFICATIONS
  • Five years of professional experience as a machine learning scientist, or equivalent.
  • Ph.D. in a relevant field or where machine learning was a core component of curriculum and dissertation.
  • Excellent interpersonal, oral, and written communication skills.
  • Ability and desire to successfully work with individuals from various cultural and socioeconomic backgrounds.
  • Willingness to teach with minimal supervision while maintaining high standards of professionalism, punctuality, and content relevance for adult students from different backgrounds.
  • Legal authorization to work and receive compensation in the United States. This position is not eligible for visa sponsorship.

DESIRED QUALIFICATIONS
  • Experience in a variety of organizations or teams showing range within industry and implementations.
  • Prior mentoring experience, particularly with professional learners.

Application Instructions
To apply to teach in the Machine Learning certificate program, please submit the following:
  • Describe your areas of expertise related to this program. For the ML courses, if not clear from your current title, outline how your role is equivalent to a ML scientist. For the DL course, speak to your DL experience. Applications that do not contain this information will not be considered.
  • Resume or CV

Applications are accepted on an ongoing basis and review of applications will occur intermittently dependent on program needs. Applications received by Aug 15th, 2026, will receive priority consideration.

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