J-1 Visa AI Solutions Engineer Jobs
AI Solutions Engineer roles in the U.S. are accessible to international professionals through J-1 visa sponsorship, typically under the Trainee or Research Scholar category depending on your career stage. A State Department-designated sponsor organization issues your DS-2019, while the tech company or research lab serves as your host employer.
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The Food is Medicine Institute at the Friedman School of Nutrition Science and Policy at Tufts University (the Institute) seeks an outstanding postdoctoral fellow to work on an original nutrient profiling system, Food Compass, under the mentorship and guidance of Institute Director Dr. Dariush Mozaffarian.
Bringing together research, training, patient services, policy development, and community engagement, the Institute aims to serve as a catalyst to drive change, improve health, reduce health disparities, and create a more equitable and resilient healthcare system that recognizes the power of nourishing food. Its efforts are centered in health equity to work collaboratively with and improve the lives of traditionally marginalized, vulnerable populations. The Institute also hosts and builds networks with partnerships with stakeholders within and beyond healthcare to ensure that efforts advance well-being and policy broadly and reach the people who need them most.
WHAT YOU'LL DO:
This is a full-time (12 months per year) position with an anticipated duration of 2-3 years, subject to annual review and renewal based on performance and available funding. The position is based in Boston, MA, and requires regular in-person work. Flexible and hybrid arrangements (e.g., 1–2 days per week remote) may be considered; fully remote work is not available. Applicants must be authorized to work in the United States. The start date is negotiable. This position offers a competitive salary, excellent benefits, and opportunities for professional development, travel, and collaboration with leading researchers and partners.
The successful candidate will meaningfully contribute to advancing the development, expansion, and application of Food Compass across various partnerships. This may include research and activities related to:
- Updating and expanding the Food Compass algorithm according to the latest science, including expansion to include novel health-related bioactive attributes;
- Supporting ongoing work and manuscripts, including related data manipulation and harmonization of large U.S. branded food databases, including application of AI tools for nutrient attribute coding, ingredient extraction, and large-scale dataset harmonization;
- Leading analyses describing dietary intake in the United States and internationally using Food Compass and existing dietary data from major data sources, including the National Health and Nutrition Examination Survey (NHANES), the USDA Branded Foods Database, UK Biobank, and others;
- Collaborating with food retailers, healthcare systems, international health-focused government agencies, nutrition-focused venture capital firms and coalitions, and other organizations to advance the role of NPS in consumer education and the creation of a healthier and more equitable food environment;
- Disseminating research findings to relevant stakeholders, including the scientific community, food system leaders, legislative bodies, and advocacy groups and agencies.
The fellow will work within a close-knit, collegial multi-disciplinary team of other trainees, students, and staff within the Institute. In addition to mentoring from Dr. Dariush Mozaffarian, the fellow will interact with and gain knowledge and experience from a range of other expert faculty across the Institute and beyond. The fellow will also benefit from meetings, seminars, and coalitions of multi-sector leaders in Food is Medicine including healthcare, community-based, retail, policy, and advocacy organizations. The training program will emphasize the design and publication of original analyses and manuscripts as first author, career development, and transition toward an independent research career.
BASIC QUALIFICATIONS:
Candidates must possess a relevant medical or doctoral degree (MD, PhD, DrPH, ScD) in quantitative sciences (biostatistics, artificial intelligence, epidemiology, etc.), health sciences (e.g., medicine, nutrition, public health, etc.), or related professions (e.g., economics, public policy, business, law, etc.). Strong quantitative and data skills are a must. Ideal candidates will have demonstrated experience applying AI and machine learning tools to manage, clean, and code complex nutrient content and food product datasets. Experience with data visualizations, front of pack labeling, and nutrition policy would also be an asset.
Individuals who work well across disciplines, are collegial and collaborative, and have interest in the intersections of nutrition, information systems, health, medicine, and equity will particularly thrive in this role. Candidates must have a track record of successful interdisciplinary research as evidenced by multiple original, peer-reviewed research publications in a relevant field. We seek candidates whose work is relevant to diverse stakeholders in public and health sectors.
WHAT WE'RE LOOKING FOR:
Required education, experience and skills
Applicants must have an MD or doctoral degree (PhD, DrPH, ScD); additional training in biostatistics, coding, AI, epidemiology, nutrition, public health, economics, or related fields; and a record of original, first-author research publications in relevant areas. Candidates must have excellent quantitative/analytical research skills, strong written and oral communication skills, experience using analytic programs for data management and analysis (e.g., STATA, SPSS, SAS, R), and familiarity with AI tools for data processing, nutrient coding, and analysis of large food and dietary datasets, and the ability to work well independently and as part of a team with collaborators.
APPLICATION INSTRUCTIONS
A complete application will include; cover letter, CV, and names of three references (if available, reference letters welcomed). Applications should be submitted via Interfolio. Questions can be directed to Julia Sharib (julia.reedy@tufts.edu). Applications will be considered as they are received.
SALARY RANGE:
Minimum $67,500.00, Midpoint $72,875.00, Maximum $78,250.00
Overview:
The Food is Medicine Institute at the Friedman School of Nutrition Science and Policy at Tufts University (the Institute) seeks an outstanding postdoctoral fellow to work on an original nutrient profiling system, Food Compass, under the mentorship and guidance of Institute Director Dr. Dariush Mozaffarian.
Bringing together research, training, patient services, policy development, and community engagement, the Institute aims to serve as a catalyst to drive change, improve health, reduce health disparities, and create a more equitable and resilient healthcare system that recognizes the power of nourishing food. Its efforts are centered in health equity to work collaboratively with and improve the lives of traditionally marginalized, vulnerable populations. The Institute also hosts and builds networks with partnerships with stakeholders within and beyond healthcare to ensure that efforts advance well-being and policy broadly and reach the people who need them most.
WHAT YOU'LL DO:
This is a full-time (12 months per year) position with an anticipated duration of 2-3 years, subject to annual review and renewal based on performance and available funding. The position is based in Boston, MA, and requires regular in-person work. Flexible and hybrid arrangements (e.g., 1–2 days per week remote) may be considered; fully remote work is not available. Applicants must be authorized to work in the United States. The start date is negotiable. This position offers a competitive salary, excellent benefits, and opportunities for professional development, travel, and collaboration with leading researchers and partners.
The successful candidate will meaningfully contribute to advancing the development, expansion, and application of Food Compass across various partnerships. This may include research and activities related to:
- Updating and expanding the Food Compass algorithm according to the latest science, including expansion to include novel health-related bioactive attributes;
- Supporting ongoing work and manuscripts, including related data manipulation and harmonization of large U.S. branded food databases, including application of AI tools for nutrient attribute coding, ingredient extraction, and large-scale dataset harmonization;
- Leading analyses describing dietary intake in the United States and internationally using Food Compass and existing dietary data from major data sources, including the National Health and Nutrition Examination Survey (NHANES), the USDA Branded Foods Database, UK Biobank, and others;
- Collaborating with food retailers, healthcare systems, international health-focused government agencies, nutrition-focused venture capital firms and coalitions, and other organizations to advance the role of NPS in consumer education and the creation of a healthier and more equitable food environment;
- Disseminating research findings to relevant stakeholders, including the scientific community, food system leaders, legislative bodies, and advocacy groups and agencies.
The fellow will work within a close-knit, collegial multi-disciplinary team of other trainees, students, and staff within the Institute. In addition to mentoring from Dr. Dariush Mozaffarian, the fellow will interact with and gain knowledge and experience from a range of other expert faculty across the Institute and beyond. The fellow will also benefit from meetings, seminars, and coalitions of multi-sector leaders in Food is Medicine including healthcare, community-based, retail, policy, and advocacy organizations. The training program will emphasize the design and publication of original analyses and manuscripts as first author, career development, and transition toward an independent research career.
BASIC QUALIFICATIONS:
Candidates must possess a relevant medical or doctoral degree (MD, PhD, DrPH, ScD) in quantitative sciences (biostatistics, artificial intelligence, epidemiology, etc.), health sciences (e.g., medicine, nutrition, public health, etc.), or related professions (e.g., economics, public policy, business, law, etc.). Strong quantitative and data skills are a must. Ideal candidates will have demonstrated experience applying AI and machine learning tools to manage, clean, and code complex nutrient content and food product datasets. Experience with data visualizations, front of pack labeling, and nutrition policy would also be an asset.
Individuals who work well across disciplines, are collegial and collaborative, and have interest in the intersections of nutrition, information systems, health, medicine, and equity will particularly thrive in this role. Candidates must have a track record of successful interdisciplinary research as evidenced by multiple original, peer-reviewed research publications in a relevant field. We seek candidates whose work is relevant to diverse stakeholders in public and health sectors.
WHAT WE'RE LOOKING FOR:
Required education, experience and skills
Applicants must have an MD or doctoral degree (PhD, DrPH, ScD); additional training in biostatistics, coding, AI, epidemiology, nutrition, public health, economics, or related fields; and a record of original, first-author research publications in relevant areas. Candidates must have excellent quantitative/analytical research skills, strong written and oral communication skills, experience using analytic programs for data management and analysis (e.g., STATA, SPSS, SAS, R), and familiarity with AI tools for data processing, nutrient coding, and analysis of large food and dietary datasets, and the ability to work well independently and as part of a team with collaborators.
APPLICATION INSTRUCTIONS
A complete application will include; cover letter, CV, and names of three references (if available, reference letters welcomed). Applications should be submitted via Interfolio. Questions can be directed to Julia Sharib (julia.reedy@tufts.edu). Applications will be considered as they are received.
SALARY RANGE:
Minimum $67,500.00, Midpoint $72,875.00, Maximum $78,250.00
See all J-1 Visa AI Solutions Engineer Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new J-1 Visa AI Solutions Engineer Jobs.
Get Access To All JobsTips for Finding J-1 Visa Sponsorship as an AI Solutions Engineer
Align your credentials to specialty occupation standards
J-1 visa Trainee and Research Scholar categories require documented proof that your AI engineering background directly matches the host role. Gather transcripts, publication records, and project portfolios that map your expertise to specific machine learning or systems architecture responsibilities.
Verify host employers through DOL disclosure data
Search OFLC Wage Search to identify U.S. tech employers that have filed Labor Condition Applications for AI or software engineering roles. Employers with active LCA history are operationally familiar with exchange visitor compliance obligations, which speeds your onboarding process.
Search for J-1 compatible roles on Migrate Mate
Use Migrate Mate to filter U.S. employer listings by roles that align with J-1 sponsorship pathways for AI professionals. The platform surfaces host employers actively seeking international talent, narrowing your search beyond generalist job boards that rarely flag exchange visitor compatibility.
Secure a training plan before the DS-2019 is issued
Your designated sponsor organization requires a completed Training or Internship Placement Plan (Form DS-7002) before issuing your DS-2019. Work with your host employer to specify AI project milestones, supervision structure, and measurable learning objectives tied to your engineering role.
Clarify the two-year home residency requirement early
Research Scholar and some Trainee participants funded by their home government or involved in fields on the Exchange Visitor Skills List may be subject to a two-year home residency requirement. Confirm your status before accepting an offer, as it affects H-1B visa and green card eligibility afterward.
Negotiate AI project scope to satisfy training requirements
J-1 Trainee status requires that your role provides substantive skills development, not just production output. During offer negotiation, define deliverables that include model development, architecture design, or research tasks so your host employer's description satisfies designated sponsor review.
AI Solutions Engineer J-1 Visa: Frequently Asked Questions
Which J-1 program category fits an AI Solutions Engineer role?
It depends on your career stage. Current students or recent graduates in AI or computer science typically qualify under the Intern category for structured learning experiences. Professionals with at least one year of post-degree work experience in AI engineering are better placed under the Trainee category. Doctoral-level researchers focused on applied machine learning may qualify as Research Scholars, particularly through university or institute host placements.
Who actually sponsors the J-1 visa for a tech role, the employer or a sponsor organization?
The J-1 visa sponsor is always a U.S. Department of State-designated organization, not the hiring company. Organizations like IIE, Cultural Vistas, or CIEE issue the DS-2019 form and take legal responsibility for program compliance. The tech company or research lab hosting you is the host employer, not the visa sponsor. These are two distinct parties with different roles in the exchange visitor process.
How do I find U.S. employers open to hosting J-1 AI engineers?
Migrate Mate is built for exactly this search. It surfaces U.S. employer roles compatible with international sponsorship pathways, including J-1 host placements for AI and engineering professionals. Because most generalist job boards don't flag exchange visitor compatibility, using a platform that filters by visa-aligned roles saves significant time during your outreach phase.
Can I use O*NET to support my J-1 Trainee application for an AI Solutions Engineer role?
Yes. O*NET provides standardized occupation descriptions that designated sponsor organizations and host employers reference when evaluating whether a role qualifies for J-1 Trainee placement. The AI Solutions Engineer profile on O*NET details the knowledge areas, tasks, and technology skills associated with the occupation. Including O*NET occupation codes in your training plan documentation strengthens the case that your role delivers genuine skills development rather than routine production work.
Does the two-year home residency requirement affect AI engineers on J-1 visas?
It can. The two-year home residency requirement applies if your J-1 exchange program was funded by your home government, if your home country lists AI or computer engineering on the Exchange Visitor Skills List, or if you're a graduate medical trainee. If it applies, you must return home for two years before changing to H-1B or applying for a green card, unless you obtain a waiver. Confirm your status with your designated sponsor before signing any offer.