TN Visa AI Jobs
AI roles in machine learning, natural language processing, and data science qualify for TN visa sponsorship under the Computer Systems Analyst or Engineer categories. Canadian citizens can secure TN status at the border same-day. Mexican citizens need consular processing. Employers file no petition with USCIS for Canadian applicants.
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INTRODUCTION
The School of Veterinary Medicine at the University of Wisconsin-Madison invites applications for a tenure-track faculty position in artificial intelligence (AI) to advance comparative biomedical sciences and clinical veterinary medicine. We aim to build on existing strengths and foster collaborative opportunities across schools and colleges at UW-Madison to pioneer AI in veterinary medicine and to develop technologies that impact other health sciences. This position complements campus efforts through the Wisconsin Research, Innovation and Scholarly Excellence (RISE)-AI initiative designed to help address significant, complex challenges and opportunities in AI through accelerated and strategic faculty hiring, research infrastructure enhancement, interdisciplinary collaboration and increased student and educational opportunities.
There are excellent opportunities for the new faculty member to benefit from existing SVM and campus strengths in the comparative biomedical sciences, One Health, planetary health, and agricultural and food research. Faculty within the School of Veterinary Medicine train graduate students in the Comparative Biomedical Sciences Training Program and other campus graduate programs. They also serve as trainers on a variety of NIH training grants administered through the School and other units on campus. The new faculty member will be able to engage with resources and facilities including the Institute for Clinical and Translational Research, Influenza Research Institute, Midwest Center of Excellence for Vector-borne Disease, Global Health Institute, Food Research Institute, USGS National Wildlife Health Center, Wisconsin National Primate Research Center, Wisconsin State Laboratory of Hygiene, Wisconsin Veterinary Diagnostic Laboratory, Wisconsin Institutes for Medical Research, Center for High-throughput Computing, Data Science Institute, and UW Extension Services. Additional opportunities for interdisciplinary collaboration exist across the School of Medicine and Public Health, College of Agriculture and Life Sciences, College of Engineering, Nelson Institute of Environmental Studies, and School of Computer Data & Information Sciences.
The University of Wisconsin-Madison is a top-tier institution with an international reputation for basic, applied, and interdisciplinary research. UW-Madison regularly ranks in the top 5 among U.S. universities in overall research funding, surpassing $1.5 billion in annual research expenditures. The campus embraces a culture of collaboration, collegiality and inclusion, and the exceptionally high quality of life offered by Madison, Wisconsin provides an outstanding environment in which to pursue an academic career.
The UW School of Veterinary Medicine is a top ranked veterinary school with exceptional strengths in foundational and clinical/translational research in disciplines including infectious disease, oncology, orthopedics, diagnostic imaging, neuroscience, regenerative medicine and stem cell biology, developmental biology, and comparative ophthalmology. The School of Veterinary Medicine is a wonderful workplace with enthusiastic students, nurses, interns, residents, and other faculty specialists who work together to provide excellent veterinary medical care. The team at the UW School of Veterinary Medicine strives to provide outstanding programs in veterinary medical education, research, clinical practice, and service that enhances the health and welfare of both animals and people. The School of Veterinary Medicine makes a strong 12-month salary commitment to its faculty. Salary and a start-up package will be commensurate with the rank and experience of the successful candidate.
ROLE AND RESPONSIBILITIES
The candidate will participate in the School of Veterinary Medicine's research, teaching, and service programs. Specifically, the individual will be expected to conduct independent extramurally funded research in an area related to the application of AI to improve animal and human health; participate in courses for veterinary medical, undergraduate, or graduate students in relevant disciplines; train graduate students and postdoctoral fellows; and provide academic service to the Department, School of Veterinary Medicine, and University. The individual will also be expected to interact with faculty across campus in relevant disciplines. The approximate distribution of effort will be 70% research, 20% teaching, 10% academic service. Individuals with NIH K awards will commit 75% research effort during the award period.
BASIC QUALIFICATIONS
- Terminal Degree
PhD, DVM/VMD, MD or equivalent in veterinary medicine, animal sciences, biomedical sciences, computational sciences, or a closely related field by the start date of this position.
Education
Terminal Degree
HOW TO APPLY
Please click Apply Now to begin the process. You will be required to upload: 1) a cover letter with a brief description of research experience in the field; 2) a 2-3 page research plan; 3) a 1-page statement of teaching philosophy; and 4) a detailed curriculum vitae. In addition, applicants should provide names and email addresses for three references. For full consideration, all application materials should be received by July 1, 2026, though the position will remain open until filled.
CONTACT INFORMATION
For specific questions regarding this position, please contact the Search Committee co-Chairs: Dr. Doerte Doepfer (dopfer@wisc.edu) or Dr. Mostafa Zamanian (mzamanian@wisc.edu)
INSTITUTIONAL STATEMENT ON DIVERSITY
Diversity is a source of strength, creativity, and innovation for UW-Madison. We value the contributions of each person and respect the profound ways their identity, culture, background, experience, status, abilities, and opinion enrich the university community. We commit ourselves to the pursuit of excellence in teaching, research, outreach, and diversity as inextricably linked goals.
The University of Wisconsin-Madison fulfills its public mission by creating a welcoming and inclusive community for people from every background - people who as students, faculty, and staff serve Wisconsin and the world.
The University of Wisconsin-Madison is an Equal Opportunity Employer.
Qualified applicants will receive consideration for employment without regard to, including but not limited to, race, color, religion, sex, sexual orientation, national origin, age, pregnancy, disability, or status as a protected veteran and other bases as defined by federal regulations and UW System policies. We promote excellence by acknowledging skills and expertise from all backgrounds and encourage all qualified individuals to apply.
To request a disability or pregnancy-related accommodation for any step in the hiring process (e.g., application, interview, pre-employment testing, etc.), please contact the Divisional Disability Representative (DDR) in the division you are applying to. Please make your request as soon as possible to help the university respond most effectively to you.
Employment may require a criminal background check. It may also require your references to answer questions regarding misconduct, including sexual violence and sexual harassment.
The University of Wisconsin System will not reveal the identities of applicants who request confidentiality in writing, except that the identity of the successful candidate will be released. See Wis. Stat. sec. 19.36(7).
The Annual Security and Fire Safety Report contains current campus safety and disciplinary policies, crime statistics for the previous 3 calendar years, and on-campus student housing fire safety policies and fire statistics for the previous 3 calendar years. UW-Madison will provide a paper copy upon request; please contact the University of Wisconsin Police Department.
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Get Access To All JobsTips for Finding TN Visa Sponsorship in AI
Match your credentials to TN categories
AI job titles don't map to TN visa categories automatically. Your offer letter must describe duties that fit Computer Systems Analyst or Engineer criteria. A mismatch between your title and TN category language is the most common border rejection trigger.
Target employers with existing TN hiring pipelines
Focus on employers with recent visa filings who understand work visa sponsorship. They already have HR workflows, legal contacts, and offer letter templates built for visa-sponsored roles. Employers new to sponsorship often delay or rescind offers because they underestimate how quickly the TN process moves for Canadian applicants at the port of entry.
Request a TN-ready offer letter before your start date
Your offer letter must specify your TN category, role duties, educational credentials required, and employment duration. Get this document reviewed before you approach the border or schedule a consular appointment. Vague duty descriptions routinely get flagged by CBP officers.
Use Migrate Mate to find AI roles at visa-sponsoring employers
Search Migrate Mate to identify employers actively hiring AI professionals with recent visa filings. The platform surfaces roles at companies experienced with work visa sponsorship, cutting out the back-and-forth of vetting employers unfamiliar with the visa process.
Prepare credential equivalency documentation early
Mexican nationals with degrees from non-U.S. institutions should obtain a credential evaluation before their consular appointment. Consular officers verify that your degree meets the TN category's educational standard, and missing documentation will delay or deny your visa.
Negotiate a TN renewal commitment before accepting an offer
TN status is granted in three-year increments with no statutory limit on renewals. Confirm your employer will support renewals before you sign. Some companies treat TN as a short-term fix rather than a long-term sponsorship arrangement, which creates instability for your work authorization.
AI TN Visa: Frequently Asked Questions
What TN visa categories cover AI jobs?
Most AI roles qualify under Computer Systems Analyst or Engineer categories, depending on your specific duties. A machine learning engineer role typically maps to Engineer; a role focused on AI system design or business intelligence fits Computer Systems Analyst. Your offer letter must describe duties that match the category language CBP officers use to evaluate TN admissions at the border or during consular review.
How does the TN visa compare to H-1B for AI professionals?
TN has no lottery, no annual cap for Canadians, and no USCIS petition required for Canadian applicants. You can receive TN status at a U.S. port of entry the same day. H-1B visa requires a lottery selection, USCIS approval, and a wait of months. For AI professionals who are Canadian citizens, TN is almost always faster and more predictable than H-1B.
Can I find AI employers who already sponsor TN visas?
Yes. Migrate Mate lets you search specifically for AI roles where TN visa sponsorship is part of the employer's hiring process. This matters because first-time TN sponsors often stall or withdraw offers when they realize they need to structure the offer letter correctly and confirm their HR and legal teams understand TN requirements.
How long does TN visa processing take for Mexican AI professionals?
Mexican nationals must apply at a U.S. consulate, which adds weeks to the timeline compared to Canadian applicants who can process at the border. Appointment availability varies by consulate location and time of year. Once your interview is complete and the visa is issued, you'll receive a TN stamp valid for up to three years, matching your offer letter duration.
Does my AI job title need to exactly match a TN category name?
No. CBP officers and consular officers evaluate job duties, not titles. A role called 'AI Research Scientist' can qualify under Engineer or Computer Systems Analyst if the duties align. What matters is how your offer letter describes your responsibilities, required qualifications, and which TN category your employer is sponsoring you under. Vague or misaligned duty descriptions are the primary cause of TN denials for AI roles.