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Machine Learning Instructor Jobs (NOW HIRING)

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Machine Learning Instructor information

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$33.5K

$59.6K

$119K

How much do machine learning instructor jobs pay per year?

As of Jun 6, 2026, the average yearly pay for machine learning instructor in the United States is $59,560.00, according to ZipRecruiter salary data. Most workers in this role earn between $44,000.00 and $65,000.00 per year, depending on experience, location, and employer.

What is a Machine Learning Instructor job?

A Machine Learning Instructor is a professional who teaches students or professionals the fundamentals and advanced concepts of machine learning. They design course materials, deliver lectures, create exercises, and guide learners in applying ML techniques to real-world problems. Instructors may work in universities, coding bootcamps, or corporate training programs. Strong expertise in ML algorithms, programming (Python, TensorFlow, PyTorch), and data science is typically required.

What are the key skills and qualifications needed to thrive in the Machine Learning Instructor position, and why are they important?

To thrive as a Machine Learning Instructor, you need a strong background in mathematics, statistics, programming (often in Python), and practical experience with ML frameworks, typically supported by an advanced degree in a related field. Familiarity with tools like TensorFlow, PyTorch, Jupyter Notebooks, and relevant teaching certifications or online course development platforms is highly valued. Outstanding communication, patience, and the ability to break down complex concepts make someone stand out in this position. These skills are vital for effectively teaching diverse learners and keeping up with the rapidly evolving field of machine learning.

What are the typical daily responsibilities of a Machine Learning Instructor?

Machine Learning Instructors usually spend their days preparing and delivering lectures or workshops, creating course materials, and guiding students through hands-on coding exercises and projects. They are also responsible for assessing student progress, providing feedback, and staying updated on the latest machine learning trends to incorporate into their teaching. Collaboration with other instructors and curriculum developers is common to ensure content quality and cohesion. This role often involves mentoring students, answering questions, and helping troubleshoot technical issues, contributing to a dynamic and engaging learning environment.

More about Machine Learning Instructor jobs
What cities are hiring for Machine Learning Instructor jobs? Cities with the most Machine Learning Instructor job openings:
What states have the most Machine Learning Instructor jobs? States with the most job openings for Machine Learning Instructor jobs include:
Infographic showing various Machine Learning Instructor job openings in the United States as of May 2026, with employment types broken down into 53% Full Time, 31% Part Time, 8% Temporary, and 8% Contract. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $59,560 per year, or $28.6 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

$2K/wk

Part-time, Temporary

Posted 8 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

174th of 532 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.