Learning Assistant Jobs in USA with Visa Sponsorship
Learning Assistant roles at U.S. schools and universities can qualify for H-1B visa sponsorship when the position requires a relevant bachelor's degree. Employers file a Labor Condition Application before you apply, and your degree field must directly match the instructional or educational support duties in the job description.
Find Learning Assistant JobsOverview
Showing 5 of 26+ Learning Assistant jobs
See all Learning Assistant Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Learning Assistant roles.
Get Access To All JobsPosition Title
Visiting Assistant Professor of Artificial Intelligence and Machine Learning
Job Description
The Department of Natural Sciences and Environmental Health at Mississippi Valley State University invites applications for a full-time Visiting Assistant Professor of Artificial Intelligence and Machine Learning (AI/ML).
The successful candidate will teach graduate-level courses in Artificial Intelligence and Machine Learning, with a particular emphasis on applications in Biomedical Sciences, Environmental Science, and Environmental Public Health, as well as undergraduate courses as needed.
We seek an enthusiastic, innovative, and student-centered educator who is passionate about advancing AI education, mentoring students, and applying emerging technologies to real-world scientific and public health challenges.
The selected candidate will have the opportunity to contribute to the University’s new interdisciplinary Master’s program in Artificial Intelligence and Machine Learning for Biomedical and Environmental Health Systems (AIM-BEHS), helping prepare the next generation of professionals to use AI-driven approaches to address critical challenges in healthcare, biomedical research, environmental sustainability, and public health.
Required Qualifications
Applicants must possess the following qualifications:
- A Ph.D. in Artificial Intelligence, Machine Learning, Data Science, Computer Science, Computational Science, Biomedical Sciences, Environmental Science, Environmental Health, Environmental Public Health, Engineering, or a closely related field by the start date of appointment.
- Demonstrated expertise or a strong academic or research background in AI, Machine Learning, Data Science, or computational methods, with the ability to apply these technologies to biomedical, environmental, or public health challenges.
- Demonstrated ability or strong potential to teach graduate-level courses in Artificial Intelligence, Machine Learning, and related disciplines, including interdisciplinary applications.
- Evidence of scholarly achievement, research experience, or strong potential to develop research projects and engage graduate and undergraduate students in research and applied learning.
- Ability and willingness to collaborate with faculty and researchers from diverse scientific and technical disciplines.
- Strong communication, organizational, and interpersonal skills, with a commitment to effective teaching, student mentorship, and academic excellence.
- Commitment to supporting student success, interdisciplinary education, scholarly activities, and university service.
Preferred Qualifications
The following qualifications are desirable but not required:
- Teaching, research, postdoctoral, or relevant industry experience in Artificial Intelligence, Machine Learning, or Data Science.
- Experience with AI/ML tools and programming environments such as Python, R, TensorFlow, PyTorch, or related technologies.
- Experience applying AI/ML techniques to biomedical research, Bioinformatics, healthcare, environmental monitoring, environmental health, or public health data.
- Experience developing interdisciplinary research projects, mentoring students, or collaborating on externally funded research.
- Familiarity with emerging AI technologies, including deep learning, generative AI, and advanced data analytics.
- Interest in contributing to the development and growth of a new interdisciplinary graduate program.
Physical Demands
Posting Number
SF901P
Open Date
10/21/2026
Open Until Filled
Yes
Special Instructions to Applicants
Application Materials
Applicants should submit the following:
- Curriculum vitae.
- One combined document that includes:
- Cover letter describing teaching and research interests.
- Statement of teaching philosophy.
- Statement of research interests, including plans for student involvement.
- All graduate transcripts (unofficial transcripts are acceptable for initial review).
- Names and contact information for three professional references.
- Three professional reference letters.
Equal Opportunity Statement
The university is an Equal Opportunity Employer and encourages applications from candidates who are committed to teaching, mentoring, research, and supporting students from diverse backgrounds.
Documents Needed To Apply
Required Documents
- Resume
- Cover Letter
- Transcripts
- Letter of Recommendation
- Curriculum Vitae
- Portfolio
Optional Documents
Position Title
Visiting Assistant Professor of Artificial Intelligence and Machine Learning
Job Description
The Department of Natural Sciences and Environmental Health at Mississippi Valley State University invites applications for a full-time Visiting Assistant Professor of Artificial Intelligence and Machine Learning (AI/ML).
The successful candidate will teach graduate-level courses in Artificial Intelligence and Machine Learning, with a particular emphasis on applications in Biomedical Sciences, Environmental Science, and Environmental Public Health, as well as undergraduate courses as needed.
We seek an enthusiastic, innovative, and student-centered educator who is passionate about advancing AI education, mentoring students, and applying emerging technologies to real-world scientific and public health challenges.
The selected candidate will have the opportunity to contribute to the University’s new interdisciplinary Master’s program in Artificial Intelligence and Machine Learning for Biomedical and Environmental Health Systems (AIM-BEHS), helping prepare the next generation of professionals to use AI-driven approaches to address critical challenges in healthcare, biomedical research, environmental sustainability, and public health.
Required Qualifications
Applicants must possess the following qualifications:
- A Ph.D. in Artificial Intelligence, Machine Learning, Data Science, Computer Science, Computational Science, Biomedical Sciences, Environmental Science, Environmental Health, Environmental Public Health, Engineering, or a closely related field by the start date of appointment.
- Demonstrated expertise or a strong academic or research background in AI, Machine Learning, Data Science, or computational methods, with the ability to apply these technologies to biomedical, environmental, or public health challenges.
- Demonstrated ability or strong potential to teach graduate-level courses in Artificial Intelligence, Machine Learning, and related disciplines, including interdisciplinary applications.
- Evidence of scholarly achievement, research experience, or strong potential to develop research projects and engage graduate and undergraduate students in research and applied learning.
- Ability and willingness to collaborate with faculty and researchers from diverse scientific and technical disciplines.
- Strong communication, organizational, and interpersonal skills, with a commitment to effective teaching, student mentorship, and academic excellence.
- Commitment to supporting student success, interdisciplinary education, scholarly activities, and university service.
Preferred Qualifications
The following qualifications are desirable but not required:
- Teaching, research, postdoctoral, or relevant industry experience in Artificial Intelligence, Machine Learning, or Data Science.
- Experience with AI/ML tools and programming environments such as Python, R, TensorFlow, PyTorch, or related technologies.
- Experience applying AI/ML techniques to biomedical research, Bioinformatics, healthcare, environmental monitoring, environmental health, or public health data.
- Experience developing interdisciplinary research projects, mentoring students, or collaborating on externally funded research.
- Familiarity with emerging AI technologies, including deep learning, generative AI, and advanced data analytics.
- Interest in contributing to the development and growth of a new interdisciplinary graduate program.
Physical Demands
Posting Number
SF901P
Open Date
10/21/2026
Open Until Filled
Yes
Special Instructions to Applicants
Application Materials
Applicants should submit the following:
- Curriculum vitae.
- One combined document that includes:
- Cover letter describing teaching and research interests.
- Statement of teaching philosophy.
- Statement of research interests, including plans for student involvement.
- All graduate transcripts (unofficial transcripts are acceptable for initial review).
- Names and contact information for three professional references.
- Three professional reference letters.
Equal Opportunity Statement
The university is an Equal Opportunity Employer and encourages applications from candidates who are committed to teaching, mentoring, research, and supporting students from diverse backgrounds.
Documents Needed To Apply
Required Documents
- Resume
- Cover Letter
- Transcripts
- Letter of Recommendation
- Curriculum Vitae
- Portfolio
Optional Documents
See all Learning Assistant Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Learning Assistant roles.
Get Access To All JobsTips for Finding Visa Sponsorship as a Learning Assistant
Match your degree to the role
H-1B sponsorship requires a specialty occupation, meaning your degree must directly relate to the Learning Assistant duties listed. A general education degree may not satisfy USCIS if the posting lists broad support tasks without a specific subject requirement.
Search LCA filings by institution type
K-12 districts and community colleges file far fewer LCAs for Learning Assistant roles than research universities. Use the OFLC Wage Search to identify which institution types in your target city have certified LCAs for education support positions.
Verify your OPT end date before applying
Learning Assistant positions at universities often post in spring for fall starts. If your OPT expires before October 1, you may need a cap-gap extension to bridge the gap, so confirm your I-20 end date with your DSO before accepting an offer.
Use Migrate Mate to find verified sponsors
Target employers with confirmed LCA filing history for learning or education support roles. Migrate Mate lists institutions with verified sponsorship records so you're not wasting applications on schools that have never filed for this position type.
Get your credentials evaluated early
If your degree is from outside the U.S., have it evaluated by a NACES-member credential service before the offer stage. Some school districts require evaluation on file before they'll initiate an LCA, and delays can push your start date past the H-1B cap deadline.
Clarify full-time status before the LCA is filed
Many Learning Assistant roles are part-time or hourly. H-1B petitions filed for part-time positions require the employer to certify a pro-rated prevailing wage, and USCIS scrutinizes whether the role genuinely constitutes a specialty occupation at reduced hours.
Frequently Asked Questions
Does a Learning Assistant role qualify as a specialty occupation for H-1B sponsorship?
It depends on how the employer defines the position. If the job description requires a bachelor's degree in education, instructional design, or a specific subject area, USCIS is more likely to approve it as a specialty occupation. Generic support roles that accept any degree, or no degree at all, typically don't qualify. The employer's offer letter and job duties are the deciding factors.
Which visa types can Learning Assistants use to work in the U.S.?
H-1B is the most common path for Learning Assistants whose roles require a relevant degree. F-1 students can work as Learning Assistants under OPT or STEM OPT if the role relates to their field of study. J-1 visa is an option through a designated exchange sponsor. TN visa applies only to Canadian and Mexican nationals in USMCA-listed professions, and Learning Assistant is not on that list.
How do I find schools or universities that sponsor Learning Assistants?
Migrate Mate lists employers with verified LCA filing history for education and learning support roles, so you can focus your applications on institutions that have actually sponsored this position type before.
Does the type of institution affect my sponsorship chances?
Yes. Research universities and large school districts file LCAs far more regularly than small private schools or community colleges. Institutions with dedicated HR or international faculty offices are also more experienced with the LCA and I-129 process, which reduces the risk of filing errors that can delay or jeopardize your petition.
Can a Learning Assistant role qualify for a green card through PERM?
Yes, if the employer is willing to sponsor permanent residence. Most Learning Assistant green card cases go through the EB-3 skilled worker or professional category, which requires PERM labor certification from DOL. The employer must demonstrate no qualified U.S. workers are available, which can be challenging for roles that don't require a highly specialized degree. Processing timelines for PERM and subsequent EB-3 steps can be lengthy depending on your country of birth.
What is the prevailing wage requirement for sponsored Learning Assistant jobs?
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.