J-1 Visa VP Of AI Jobs
VP of AI roles in the United States can be pursued through J-1 visa sponsorship under the Specialist or Research Scholar category, depending on your background and host organization. Designated sponsors issue the DS-2019, so your first step is securing a host employer whose research or innovation mandate qualifies.
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Recruitment/Posting Title PostDoctoral Associate in Artificial Intelligence/Machine Learning and Data Science
Department Quantitative Biomedicine Inst
Salary Details 69,293
Offer Information
The final salary offer may be determined by several factors, including, but not limited to, the candidate’s qualifications, experience, and expertise, and availability of department or grant funds to support the position. We also take into consideration market benchmarks, if and when appropriate, and internal equity to ensure fair compensation relative to the university’s broader compensation structure. We are committed to offering competitive and flexible compensation packages to attract and retain top talent.
Benefits
Rutgers offers a comprehensive benefits package to eligible employees, based on position, which includes:
- Medical, prescription drug, and dental coverage
- Paid vacation, holidays, and various leave programs
- Competitive retirement benefits, including defined contribution plans and voluntary tax-deferred savings options
- Employee and dependent educational benefits
- Life insurance coverage
- Employee discounts programs
For detailed information on benefits and eligibility, please visit: http://uhr.rutgers.edu/benefits/benefits-overview.
Posting Summary
The Rutgers Artificial Intelligence and Data Science (RAD) Collaboratory is seeking to appoint two highly motivated postdoctoral researchers with expertise in artificial intelligence/machine learning and data science. Applicants must have completed their Ph.D. studies within the past year. Prior to submitting an application, they must identify an existing RAD Collaboratory faculty member as their postdoctoral mentor and provide the Mentor’s Letter of Nomination (on Rutgers Letterhead) with their application materials. Successful candidates will work under the supervision of the Nominating Mentor and contribute to interdisciplinary research projects focused on important problems in science and engineering. Eligible subject areas include computational biology and/or biomedicine, multi-modality fusion and inference (visual and NLP data), computationally efficient ML, environmental sciences, business applications, chemistry, and physics. The RAD Collaboratory offers a rich environment for collaboration with ample access to computational resources.
Position Status Full Time
Posting Number 26FA0744
Posting Open Date 09/02/2026
Qualifications
Minimum Education and Experience
- PhD in Computer Science or related discipline.
- Has a proven track record of excellence in artificial intelligence/machine learning and/or data science
- Strong interpersonal, verbal, and written communication skills
- Good documentation habits
- Candidates in all-but-degree (ABD) status will also be considered (Degree Conferral in Process)
Required Knowledge, Skills, and Abilities
- Experience in GPU programming
- Experience working in interdisciplinary research teams
- Experience working with large and complex scientific datasets
- Self-motivation and independence
- A track record of productive research and peer-reviewed publications
Preferred Qualifications
Equipment Utilized
Workstation/laptop
Physical Demands and Work Environment
Onsite in academic and collaborative working environment
Overview
Outstanding Benefits Package
The RAD Collaboratory is located at Rutgers, State University of New Jersey and provides a friendly and collaborative working environment with excellent professional development opportunities. At Rutgers, this academic position offers New Jersey state benefits. There are personal rewards including comprehensive health and retirement plan options. For more details about state and university benefits,
For more details about state and university benefits, see our employee benefits page.
About the RAD Collaboratory (RADCollaboratory.Rutgers.edu)
The RAD Collaboratory was established as a New Brunswick Chancellor-reporting Signature Initiative to serve as a hub that fosters Data Science and Artificial Intelligence/Machine Learning (AI/ML) research collaborations, student and postdoctoral programming, and community engagement in synergistic partnerships with related initiatives across the University.
Statement
Special Instructions to Applicants
Applicants should provide a cover letter relating their research and career interests to this position, a full curriculum vitae, Mentor’s Letter of Nomination, and names and contact information for two references. Applications will be reviewed on a rolling basis until the position is filled. Start date flexible.
Campus Rutgers University-New Brunswick
Home Location Campus Busch (RU-New Brunswick)
City Piscataway
State NJ
Location Details
Pre-employment Screenings
All offers of employment are contingent upon successful completion of all pre-employment screenings.
Immunization Requirements
Under Policy 100.3.1 Immunization Policy for Covered Individuals, if employment will commence during Flu Season, Rutgers University may require certain prospective employees to provide proof that they are vaccinated against Seasonal Influenza for the current Flu Season, unless the University has granted the individual a medical or religious exemption. Additional infection control and safety policies may apply. Prospective employees should speak with their hiring manager to determine which policies apply to the role or position for which they are applying. Failure to provide proof of vaccination for any required vaccines or obtain a medical or religious exemption from the University will result in rescission of a candidate’s offer of employment or disciplinary action up to and including termination.
Equal Employment Opportunity Statement
It is university policy to provide equal employment opportunity to all its employees and applicants for employment regardless of their race, creed, color, national origin, age, ancestry, nationality, marital or domestic partnership or civil union status, sex, pregnancy, gender identity or expression, disability status, liability for military service, protected veteran status, affectional or sexual orientation, atypical cellular or blood trait, genetic information (including the refusal to submit to genetic testing), or any other category protected by law. As an institution, we encourage all qualified applicants to apply. For additional information please see the Non-Discrimination Statement at the following web address: http://uhr.rutgers.edu/non-discrimination-statement
Applicant Documents
Required Documents
- Resume/CV
- Cover Letter/Letter of Application
- Curriculum Vitae
- List of Professional References (contact Info)
- Other Document
Optional Documents
Position Details
Recruitment/Posting Title PostDoctoral Associate in Artificial Intelligence/Machine Learning and Data Science
Department Quantitative Biomedicine Inst
Salary Details 69,293
Offer Information
The final salary offer may be determined by several factors, including, but not limited to, the candidate’s qualifications, experience, and expertise, and availability of department or grant funds to support the position. We also take into consideration market benchmarks, if and when appropriate, and internal equity to ensure fair compensation relative to the university’s broader compensation structure. We are committed to offering competitive and flexible compensation packages to attract and retain top talent.
Benefits
Rutgers offers a comprehensive benefits package to eligible employees, based on position, which includes:
- Medical, prescription drug, and dental coverage
- Paid vacation, holidays, and various leave programs
- Competitive retirement benefits, including defined contribution plans and voluntary tax-deferred savings options
- Employee and dependent educational benefits
- Life insurance coverage
- Employee discounts programs
For detailed information on benefits and eligibility, please visit: http://uhr.rutgers.edu/benefits/benefits-overview.
Posting Summary
The Rutgers Artificial Intelligence and Data Science (RAD) Collaboratory is seeking to appoint two highly motivated postdoctoral researchers with expertise in artificial intelligence/machine learning and data science. Applicants must have completed their Ph.D. studies within the past year. Prior to submitting an application, they must identify an existing RAD Collaboratory faculty member as their postdoctoral mentor and provide the Mentor’s Letter of Nomination (on Rutgers Letterhead) with their application materials. Successful candidates will work under the supervision of the Nominating Mentor and contribute to interdisciplinary research projects focused on important problems in science and engineering. Eligible subject areas include computational biology and/or biomedicine, multi-modality fusion and inference (visual and NLP data), computationally efficient ML, environmental sciences, business applications, chemistry, and physics. The RAD Collaboratory offers a rich environment for collaboration with ample access to computational resources.
Position Status Full Time
Posting Number 26FA0744
Posting Open Date 09/02/2026
Qualifications
Minimum Education and Experience
- PhD in Computer Science or related discipline.
- Has a proven track record of excellence in artificial intelligence/machine learning and/or data science
- Strong interpersonal, verbal, and written communication skills
- Good documentation habits
- Candidates in all-but-degree (ABD) status will also be considered (Degree Conferral in Process)
Required Knowledge, Skills, and Abilities
- Experience in GPU programming
- Experience working in interdisciplinary research teams
- Experience working with large and complex scientific datasets
- Self-motivation and independence
- A track record of productive research and peer-reviewed publications
Preferred Qualifications
Equipment Utilized
Workstation/laptop
Physical Demands and Work Environment
Onsite in academic and collaborative working environment
Overview
Outstanding Benefits Package
The RAD Collaboratory is located at Rutgers, State University of New Jersey and provides a friendly and collaborative working environment with excellent professional development opportunities. At Rutgers, this academic position offers New Jersey state benefits. There are personal rewards including comprehensive health and retirement plan options. For more details about state and university benefits,
For more details about state and university benefits, see our employee benefits page.
About the RAD Collaboratory (RADCollaboratory.Rutgers.edu)
The RAD Collaboratory was established as a New Brunswick Chancellor-reporting Signature Initiative to serve as a hub that fosters Data Science and Artificial Intelligence/Machine Learning (AI/ML) research collaborations, student and postdoctoral programming, and community engagement in synergistic partnerships with related initiatives across the University.
Statement
Special Instructions to Applicants
Applicants should provide a cover letter relating their research and career interests to this position, a full curriculum vitae, Mentor’s Letter of Nomination, and names and contact information for two references. Applications will be reviewed on a rolling basis until the position is filled. Start date flexible.
Campus Rutgers University-New Brunswick
Home Location Campus Busch (RU-New Brunswick)
City Piscataway
State NJ
Location Details
Pre-employment Screenings
All offers of employment are contingent upon successful completion of all pre-employment screenings.
Immunization Requirements
Under Policy 100.3.1 Immunization Policy for Covered Individuals, if employment will commence during Flu Season, Rutgers University may require certain prospective employees to provide proof that they are vaccinated against Seasonal Influenza for the current Flu Season, unless the University has granted the individual a medical or religious exemption. Additional infection control and safety policies may apply. Prospective employees should speak with their hiring manager to determine which policies apply to the role or position for which they are applying. Failure to provide proof of vaccination for any required vaccines or obtain a medical or religious exemption from the University will result in rescission of a candidate’s offer of employment or disciplinary action up to and including termination.
Equal Employment Opportunity Statement
It is university policy to provide equal employment opportunity to all its employees and applicants for employment regardless of their race, creed, color, national origin, age, ancestry, nationality, marital or domestic partnership or civil union status, sex, pregnancy, gender identity or expression, disability status, liability for military service, protected veteran status, affectional or sexual orientation, atypical cellular or blood trait, genetic information (including the refusal to submit to genetic testing), or any other category protected by law. As an institution, we encourage all qualified applicants to apply. For additional information please see the Non-Discrimination Statement at the following web address: http://uhr.rutgers.edu/non-discrimination-statement
Applicant Documents
Required Documents
- Resume/CV
- Cover Letter/Letter of Application
- Curriculum Vitae
- List of Professional References (contact Info)
- Other Document
Optional Documents
See all J-1 Visa VP Of AI Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new J-1 Visa VP Of AI Jobs.
Get Access To All JobsTips for Finding J-1 Visa Sponsorship in VP Of AI
Document your AI specialization before applying
Assemble peer-reviewed publications, patents, or conference presentations that establish you as a recognized expert in a narrowly defined AI domain. The Specialist category requires credentials that go beyond general machine learning or data science experience.
Target host organizations with existing sponsor relationships
Research universities, national laboratories, and R&D-heavy corporations already partnered with a State Department-designated sponsor can move faster. Ask during early interviews whether the organization has previously hosted J-1 visa exchange visitors at the senior level.
Use Migrate Mate to find J-1-aligned VP of AI roles
Filter for U.S. employers whose AI leadership roles align with exchange visitor program categories. Migrate Mate surfaces host organizations actively open to J-1 structures, saving you from approaching companies with no sponsorship history.
Confirm the training plan scope with your host early
Designated sponsors like Cultural Vistas or CIEE require a detailed DS-7002 training plan before issuing your DS-2019. Negotiate the specific AI research objectives, reporting milestones, and supervision structure with your host before the sponsor review begins.
Check your country's two-year home residency requirement
If you're funded by a U.S. government agency or your home country's government, or if your home country appears on the Exchange Visitor Skills List, you may be subject to the two-year home residency requirement under INA Section 212(e) before changing status or adjusting to permanent residence.
Align your program category to your actual role function
A VP of AI leading internal product teams typically fits the Specialist category. If your role centers on collaborative academic AI research with publication outputs, Research Scholar may be more appropriate. The wrong category can trigger compliance issues during USCIS or DOS review.
VP Of AI J-1 Visa: Frequently Asked Questions
Which J-1 program category fits a VP of AI role?
Most VP of AI positions fall under the Specialist category, which covers professionals with expertise in fields not represented by other J-1 categories. If your role is housed within a university or national laboratory and involves publishable research, Research Scholar may apply instead. The host organization and designated sponsor jointly determine the correct category based on your specific responsibilities.
Who actually sponsors the J-1 visa for a VP of AI position?
The J-1 visa sponsor is a U.S. Department of State-designated organization, not the hiring company. Entities like Cultural Vistas, CIEE, or IIE issue the DS-2019 form and oversee program compliance. The company offering you the VP of AI role is the host organization. Both must agree to the exchange visitor arrangement before the sponsor can issue your DS-2019.
How do I find U.S. employers open to hosting a J-1 VP of AI?
Migrate Mate is the recommended starting point for identifying U.S. employers whose AI leadership roles align with J-1 exchange visitor structures. Many companies open to J-1 hosting have prior experience with the program at the research or technical level, and locating them early saves significant time in the sponsorship coordination process.
Does the two-year home residency requirement affect VP of AI candidates?
It can, depending on your funding source and home country. If your home government funds your exchange program, or if your nationality appears on the DOS Exchange Visitor Skills List for AI or related fields, you may be required to return home for two years before changing to an immigrant or dual-intent visa status. Check your DS-2019 and consult the designated sponsor before accepting any offer that includes a green card pathway.
Can a VP of AI on a J-1 visa later transition to an H-1B or O-1?
Yes, but the two-year home residency requirement under INA Section 212(e) must be resolved first if it applies to your situation. You can either fulfill the requirement, obtain a waiver through a federal agency, your home government, or a state health agency (if applicable), or pursue a no-objection statement. USCIS adjudicates subsequent H-1B visa or O-1 visa petitions only after the J-1 bar is addressed.