... part time faculty lecturer in Applied Machine Intelligence on the Miami campus. The College of ... Founded in 1960, the College provides lifelong experiential learning that unleashes the capacities ...
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... track part time faculty lecturer in Applied Machine Intelligence on the Arlington Campus. The ... Founded in 1960, the College provides lifelong experiential learning that unleashes the capacities ...
... track part time faculty lecturer in Applied Machine Intelligence on the Arlington Campus. The ... Founded in 1960, the College provides lifelong experiential learning that unleashes the capacities ...
... track part time faculty lecturer in Applied Machine Intelligence on the Arlington Campus. The ... Founded in 1960, the College provides lifelong experiential learning that unleashes the capacities ...
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Part-Time Lecturer - Applied Machine Intelligence (Seattle)
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Part-Time Lecturer - Applied Machine Intelligence (Seattle)
Seattle, WA · On-site
$1.53K/wk
Through this network, we expand opportunities for flexible, student-centered learning and ... a part-time faculty position to teach Applied Machine Intelligence courses offered within the ...
Through this network, we expand opportunities for flexible, student-centered learning and ... a part-time faculty position to teach Applied Machine Intelligence courses offered within the ...
Through this network, we expand opportunities for flexible, student-centered learning and ... a part-time faculty position to teach Applied Machine Intelligence courses offered within the ...
Part Time Biomedical Machine Learning information
See salary details
$15.38 - $17.53
0% of jobs
$17.53 - $19.67
3% of jobs
$19.67 - $21.81
8% of jobs
$21.81 - $23.95
10% of jobs
$24.46 is the 25th percentile. Wages below this are outliers.
$23.95 - $26.09
19% of jobs
The median wage is $27.45 / hr.
$26.09 - $28.23
16% of jobs
$28.23 - $30.38
13% of jobs
$31.50 is the 75th percentile. Wages above this are outliers.
$30.38 - $32.52
12% of jobs
$32.52 - $34.66
9% of jobs
$34.66 - $36.80
6% of jobs
$36.80 - $38.94
4% of jobs
$15
$28
$38
How much do part time biomedical machine learning jobs pay per hour?
As of May 29, 2026, the average hourly pay for part time biomedical machine learning in the United States is $28.53, according to ZipRecruiter salary data. Most workers in this role earn between $24.28 and $32.21 per hour, depending on experience, location, and employer.
What are the most commonly searched types of Biomedical Machine Learning jobs? The most popular types of Biomedical Machine Learning jobs are:
Part-time
Medical, Dental, Vision, Life, Retirement, PTO
Posted yesterday
Job description
About the Opportunity
The College of Professional Studies at Northeastern University invites applications for a non-tenure track part time faculty lecturer in Applied Machine Intelligence on the Miami campus.
The College of Professional Studiesis one of ten colleges of Northeastern University, a nationally ranked private research university. Founded in 1960, the College provides lifelong experiential learning that unleashes the capacities of aspiring individuals in all stages and walks of life. The College teaches undergraduate, graduate, and doctoral students on campus and online in more than 90 programs.
Northeastern University will not provide H-1B, TN, O-1, E-3, or any other type of employment visa sponsorship for the successful applicant to this position, now or in the future. Furthermore, the successful applicant must be able to maintain valid work authorization in the United States throughout the entire appointment without Northeastern University's sponsorship for a visa.
Responsibilities
Qualified candidates must be prepared to work with global student populations.
The Master of Professional Studies in Applied AI is looking for part-time faculty to teach courses across the program with special emphasis on applied artificial intelligence, machine learning, natural language processing, computer vision, and experiential learning addressing business and technical challenges in industry.
Instructional areas include, but are not limited to:
- Core AI courses: Applied Artificial Intelligence, Applied Machine Learning, Applied Natural Language Processing, Applied Computer Vision
- Specialized areas: Deep Learning, Generative AI, Prompt Engineering, Conversational AI and Chatbots, Reinforcement Learning
- Applied domains: Machine Learning for Cybersecurity, AI for 3D Imaging, Recommender Systems, Quantum AI, Blockchain AI, AI for Autonomous Systems
- Foundational courses (for Connect pathway students): Python programming, Mathematical Concepts, Research Methods and Scientific Writing
The Applied AI degree is a multi-disciplinary, experience-based program that prepares professionals from diverse backgrounds to harness the transformative potential of artificial intelligence. Through courses and projects that focus on applied machine learning, AI implementation, ethical AI practices, and real-world applications, students learn to create AI solutions across manufacturing, healthcare, finance, and other industries. The program emphasizes accessibility, offering pathways for both technical and non-technical professionals to transition into AI-focused roles.
Qualifications
Minimum qualifications:
- Terminal degree (Ph.D.) in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or an aligned discipline
- Demonstrated professional experience implementing AI/ML solutions in industry settings
- Proficiency in Python and modern AI/ML frameworks (TensorFlow, PyTorch, scikit-learn, or similar)
Strongly preferred:
- 5+ years of professional experience in AI/ML development, implementation, or strategy roles
- Demonstration of teaching, coaching, and/or training experience with a history of successful teaching (online/on-ground) at the graduate level strongly preferred
- Experience teaching adult learners or working professionals
- Expertise in one or more specialized areas: natural language processing, computer vision, generative AI, deep learning, conversational AI, reinforcement learning, or AI applications in specific domains (cybersecurity, 3D imaging, autonomous systems)
- Understanding of AI ethics, governance, and responsible AI practices
- Ability to make complex AI concepts accessible to learners from diverse academic backgrounds
Application Materials
Applicants should submit materials including a cover letter and vitae.
Successful faculty at Northeastern will be dynamic and innovative scholars with a record of teaching excellence and a commitment to fostering belonging in the university community. Thus, strong candidates for this faculty position will have the expertise, knowledge, and skills to build their pedagogy, and curriculum in ways that reflect and enhance this commitment. Please indicate how your expertise, knowledge, and skills have prepared you to contribute to this work in your cover letter.
Please direct questions to John Wilder at j.wilder@northeastern.edu.
Application will be reviewed until the position is filled.
Position Type
AcademicAdditional Information
Northeastern University considers factors such as candidate work experience, education and skills when extending an offer.
Northeastern has a comprehensive benefits package for benefit eligible employees. This includes medical, vision, dental, paid time off, tuition assistance, wellness & life, retirement- as well as commuting & transportation. Visit https://hr.northeastern.edu/benefits/ for more information.
All qualified applicants are encouraged to apply and will receive consideration for employment without regard to race, religion, color, national origin, age, sex, sexual orientation, disability status, or any other characteristic protected by applicable law.
Pay Range:
The per credit rate for this position is $1,569.00.