H-1B Visa Learning Assistant Jobs
Learning Assistant jobs with H-1B visa sponsorship sit at an important crossroads: the role typically requires a bachelor's degree in education, instructional design, or a related field to qualify as a specialty occupation. Employers in higher education and ed-tech are among the most active H-1B sponsors for this title.
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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 H-1B Visa Learning Assistant Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new H-1B Visa Learning Assistant Jobs.
Get Access To All JobsTips for Finding H-1B Visa Sponsorship as a Learning Assistant
Frame your degree for specialty occupation
Your bachelor's degree field must connect directly to the Learning Assistant duties in your job description. Education, instructional design, curriculum development, and educational psychology all map cleanly. A general studies degree without relevant coursework creates RFE risk, so get your transcripts evaluated before applying.
Target higher education and ed-tech employers
Universities, community colleges, and ed-tech companies file LCAs for Learning Assistant roles far more consistently than K-12 districts or tutoring centers. Search DOL LCA disclosure data to identify which institutions have certified positions matching your target title and SOC code.
Search verified sponsors on Migrate Mate
Use Migrate Mate to find employers with confirmed H-1B LCA filing history for Learning Assistant and related instructional roles. This saves you from cold-applying to employers who've never sponsored the position, so your effort goes toward employers who've already done it.
Verify prevailing wage before negotiating
Your employer's LCA must certify a wage at or above the DOL prevailing wage for your SOC code and worksite location. Run the OFLC Wage Search using your specific county and job zone before you receive an offer, so you can negotiate from an accurate baseline.
Confirm each worksite gets its own LCA
If your Learning Assistant role involves working across multiple campus locations or partner sites, each distinct worksite address requires a separately certified LCA. Raise this with HR before your start date, not after, to avoid unauthorized employment status gaps.
File the I-129 petition before your OPT expires
If you're transitioning from OPT, your employer must file the I-129 petition with USCIS before your EAD expiration date. Premium processing reduces the adjudication window significantly and protects you if USCIS issues an RFE requiring additional specialty occupation documentation.
H-1B Visa Learning Assistant: Frequently Asked Questions
Does a Learning Assistant role qualify as an H-1B specialty occupation?
It can qualify, but it depends on how the position is defined. When the role requires a bachelor's degree in education, instructional design, curriculum and instruction, or educational psychology, and the job duties align with that field, USCIS will generally accept it as a specialty occupation. Employers who structure the job around degree-level instructional design or adult learning theory have the strongest petitions.
Which types of employers sponsor H-1B visas for Learning Assistant jobs?
Universities and community colleges are the most consistent sponsors because they have established HR infrastructure for H-1B filings and regularly hire for instructional roles. Ed-tech companies developing online learning platforms also file LCAs for this title. You can browse employers with verified H-1B filing history for Learning Assistant roles directly on Migrate Mate.
What SOC code applies to Learning Assistant positions for LCA purposes?
Most Learning Assistant roles fall under SOC 25-9031 (Instructional Coordinators) or SOC 25-1099 (Postsecondary Teachers, All Other), depending on duties. The employer selects the SOC code when filing the LCA with DOL, and the prevailing wage is tied to that code and your worksite location. Review the O*NET profile for each code to confirm which matches your actual job duties.
How long does H-1B status last for a Learning Assistant position?
H-1B status is granted for up to three years initially and can be extended for an additional three years, reaching a six-year maximum under standard rules. Extensions beyond six years are possible only if a PERM labor certification or I-140 immigrant petition is already in process, and those pathways depend entirely on your employer choosing to sponsor permanent residence.
Can I transfer my H-1B to a new Learning Assistant employer mid-status?
Yes, H-1B portability allows you to start working for a new employer once they file a non-frivolous I-129 petition on your behalf, without waiting for USCIS approval. The new employer must file a fresh LCA certified for each of your worksites before submitting the petition. Your previous H-1B approval and remaining validity period carry over to the transfer.