Adjunct Instructor Visa Sponsorship Jobs in Pennsylvania
Pennsylvania's higher education sector spans major research universities, liberal arts colleges, and community colleges, with employers like the University of Pennsylvania, Penn State, Temple University, and Drexel University hiring adjunct instructors across Philadelphia, Pittsburgh, and State College. International candidates in STEM, business, and the humanities will find active sponsorship activity across the state.
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Get Access To All JobsCarnegie Mellon University: Heinz College
Location
Pittsburgh, PA
Open Date
Jul 23, 2026
Description
Adjunct Instructor: Applications of NL(X) and LLM
The Heinz College of Information Systems and Public Policy at Carnegie Mellon University seeks an adjunct instructor for Applications of NL(X) and LLM this fall semester. We invite professionals with deep experience and demonstrated leadership in the field to apply. This course is designed to provide graduate-level students with a comprehensive understanding of NL(X) and LLMs, focusing on their applications, evaluation, and operationalization across many industries. Beginning with the fundamentals of NL(X), the course covers its history, evolution, and critical applications, offering students hands-on experience with essential tools such as text mining, sentiment analysis, and embeddings.
As students progress, they will delve into advanced architectures, including RNNs, LSTMs, and Transformers, learning how these models drive key applications like machine translation and named entity recognition (NER). The course places significant emphasis on Large Language Models, such as GPT and BERT, guiding students through the intricacies of training, fine-tuning, and deploying these models. Advanced topics like Retrieval-Augmented Generation (RAG) and agentic architectures will also be explored, highlighting how LLM-based agents are transforming tasks that require complex reasoning, planning, and execution.
The course is an elective for students across Heinz College programs. Students are expected to have some background in artificial intelligence and be able to program in Python at a basic level for assignments.
This is a mini (7 week long) course in the fall 2026 semester, which begins on Monday, August 24, 2026 and the last day of mini 1 classes is scheduled for Friday, October 9, 2026. The course will meet in-person twice weekly for 80 minutes, on Tuesdays and Thursdays at 5:00pm - 6:20pm. This course also offers an optional Friday recitation during the 7 week course, which meets 2:00pm - 3:20pm.
The course design should at minimum include relevant readings (textbook, research papers, news articles, etc.), in-class discussions, and appropriate evaluations of mastery of concepts for grading purposes (homework, quizzes/exams, etc.). Given the focus of Heinz College graduate programs, utilization of data, strategic thinking, and application of leadership skills are highly encouraged to be integrated into the course.
About Heinz College
The Heinz College of Information Systems and Public Policy is home to two internationally recognized schools: the School of Information Systems and Management and the School of Public Policy and Management. The unique colocation of these two schools sets Heinz College apart to tackle society’s most complex problems by teaching our students a firm understanding of policy, technology and analytical foundations, and the management skills to deploy solutions for maximum impact – the intersection of people, policy, and technology to approach complex problems. For more information, please visit www.heinz.cmu.edu.
Qualifications
The instructor should be a practitioner with direct experience in the field and should utilize data-driven analysis and methodology in their teaching. Recent experience in teaching is preferred.
Application Process
This institution is using Interfolio's Faculty Search to conduct this search. Applicants to this position receive a free Dossier account and can send all application materials, including confidential letters of recommendation, free of charge.
Equal Employment Opportunity Statement
Carnegie Mellon University is an equal opportunity employer. It does not discriminate in admission, employment, or administration of its programs or activities on the basis of race, color, national origin, sex, disability, age, sexual orientation, gender identity, pregnancy or related condition, family status, marital status, parental status, religion, ancestry, veteran status, or genetic information. Furthermore, Carnegie Mellon University does not discriminate and is required not to discriminate in violation of federal, state, or local laws or executive orders.
Carnegie Mellon University: Heinz College
Location
Pittsburgh, PA
Open Date
Jul 23, 2026
Description
Adjunct Instructor: Applications of NL(X) and LLM
The Heinz College of Information Systems and Public Policy at Carnegie Mellon University seeks an adjunct instructor for Applications of NL(X) and LLM this fall semester. We invite professionals with deep experience and demonstrated leadership in the field to apply. This course is designed to provide graduate-level students with a comprehensive understanding of NL(X) and LLMs, focusing on their applications, evaluation, and operationalization across many industries. Beginning with the fundamentals of NL(X), the course covers its history, evolution, and critical applications, offering students hands-on experience with essential tools such as text mining, sentiment analysis, and embeddings.
As students progress, they will delve into advanced architectures, including RNNs, LSTMs, and Transformers, learning how these models drive key applications like machine translation and named entity recognition (NER). The course places significant emphasis on Large Language Models, such as GPT and BERT, guiding students through the intricacies of training, fine-tuning, and deploying these models. Advanced topics like Retrieval-Augmented Generation (RAG) and agentic architectures will also be explored, highlighting how LLM-based agents are transforming tasks that require complex reasoning, planning, and execution.
The course is an elective for students across Heinz College programs. Students are expected to have some background in artificial intelligence and be able to program in Python at a basic level for assignments.
This is a mini (7 week long) course in the fall 2026 semester, which begins on Monday, August 24, 2026 and the last day of mini 1 classes is scheduled for Friday, October 9, 2026. The course will meet in-person twice weekly for 80 minutes, on Tuesdays and Thursdays at 5:00pm - 6:20pm. This course also offers an optional Friday recitation during the 7 week course, which meets 2:00pm - 3:20pm.
The course design should at minimum include relevant readings (textbook, research papers, news articles, etc.), in-class discussions, and appropriate evaluations of mastery of concepts for grading purposes (homework, quizzes/exams, etc.). Given the focus of Heinz College graduate programs, utilization of data, strategic thinking, and application of leadership skills are highly encouraged to be integrated into the course.
About Heinz College
The Heinz College of Information Systems and Public Policy is home to two internationally recognized schools: the School of Information Systems and Management and the School of Public Policy and Management. The unique colocation of these two schools sets Heinz College apart to tackle society’s most complex problems by teaching our students a firm understanding of policy, technology and analytical foundations, and the management skills to deploy solutions for maximum impact – the intersection of people, policy, and technology to approach complex problems. For more information, please visit www.heinz.cmu.edu.
Qualifications
The instructor should be a practitioner with direct experience in the field and should utilize data-driven analysis and methodology in their teaching. Recent experience in teaching is preferred.
Application Process
This institution is using Interfolio's Faculty Search to conduct this search. Applicants to this position receive a free Dossier account and can send all application materials, including confidential letters of recommendation, free of charge.
Equal Employment Opportunity Statement
Carnegie Mellon University is an equal opportunity employer. It does not discriminate in admission, employment, or administration of its programs or activities on the basis of race, color, national origin, sex, disability, age, sexual orientation, gender identity, pregnancy or related condition, family status, marital status, parental status, religion, ancestry, veteran status, or genetic information. Furthermore, Carnegie Mellon University does not discriminate and is required not to discriminate in violation of federal, state, or local laws or executive orders.
Adjunct Instructor Job Roles in Pennsylvania
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Search Adjunct Instructor Jobs in PennsylvaniaAdjunct Instructor Jobs in Pennsylvania: Frequently Asked Questions
Which employers in Pennsylvania sponsor visas for adjunct instructor roles?
Large research universities and multi-campus systems are the most consistent sponsors. The University of Pennsylvania, Penn State University, Temple University, Drexel University, and Carnegie Mellon University have established international hiring infrastructure. Community college systems, including the Community College of Philadelphia, also sponsor in some disciplines, though adjunct sponsorship at smaller institutions is less common and typically requires department-level approval.
Which visa types are most commonly used for adjunct instructor positions in Pennsylvania?
The H-1B visa is the most common visa for adjunct instructors, as teaching at the postsecondary level in a specialized discipline generally qualifies as a specialty occupation. The J-1 visa Exchange Visitor visa is also used, particularly for visiting scholars and lecturers at research universities. Some institutions sponsor O-1 visas for candidates with demonstrated distinction in their academic field. TN visa status is available to Canadian and Mexican nationals in qualifying teaching roles.
Which cities in Pennsylvania have the most adjunct instructor visa sponsorship jobs?
Philadelphia is the most active market, anchored by the University of Pennsylvania, Temple University, Drexel University, Jefferson University, and numerous smaller colleges concentrated within a compact geography. Pittsburgh follows closely, with Carnegie Mellon University and the University of Pittsburgh driving demand in technology, engineering, and the arts. State College sees activity specifically tied to Penn State's main campus, particularly in STEM and social science disciplines.
How to find adjunct instructor visa sponsorship jobs in Pennsylvania?
Migrate Mate filters job listings specifically by visa sponsorship availability, making it straightforward to identify adjunct instructor openings at Pennsylvania institutions that are open to sponsoring international candidates. You can search by role and state to surface positions at universities and colleges across Philadelphia, Pittsburgh, and beyond, narrowing your search to institutions actively filing H-1B or J-1 petitions for teaching faculty.
Are there any state-specific considerations for adjunct instructors seeking sponsorship in Pennsylvania?
Pennsylvania's density of accredited institutions creates genuine competition for adjunct roles, and sponsorship decisions are often made at the departmental level rather than centrally by HR. Positions at research-intensive universities in Philadelphia and Pittsburgh are more likely to carry sponsorship support than those at smaller regional colleges. Candidates in high-demand disciplines, including computer science, engineering, nursing, and business, typically encounter more sponsorship-willing employers across the state.
What is the prevailing wage for sponsored adjunct instructor jobs in Pennsylvania?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.