J-1 Visa AI Product Manager Jobs
AI Product Manager roles in the United States are accessible to international professionals through J-1 visa sponsorship under the Trainee or Research Scholar program category, depending on your career stage and host organization. Designated sponsors issue your DS-2019, coordinate your training plan, and manage compliance throughout your exchange visit.
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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 Product Manager Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new J-1 Visa AI Product Manager Jobs.
Get Access To All JobsTips for Finding J-1 Visa Sponsorship as an AI Product Manager
Frame your CV around AI specialization
Trainee and Specialist category applications require a training plan tied to a defined field. Document your AI product experience by methodology, not just job title, so designated sponsors can map your background to an approved occupational category.
Verify your J-1 category before applying
Current degree students qualify under the Intern category, while professionals with a relevant degree and at least one year of related experience qualify under Trainee. Applying to roles under the wrong category forces a restart, so confirm your eligibility with the designated sponsor before your host employer submits paperwork.
Target host employers with existing sponsor relationships
Some U.S. technology companies have standing agreements with designated sponsors like Cultural Vistas or AIPT. Search for AI Product Manager roles at organizations that already operate J-1 visa Trainee programs, since those hosts understand the DS-2019 process and won't need it explained.
Search J-1-aligned roles through Migrate Mate
Not every AI Product Manager listing specifies J-1 compatibility. Use Migrate Mate to filter U.S. roles at employers whose sponsorship history aligns with exchange visitor programs, reducing time spent on positions where the host has no established pathway.
Address the two-year home residency requirement early
Research Scholar and Specialist category holders funded by their home government may face the two-year home residency requirement under INA Section 212(e). Raise this with your designated sponsor before you sign an offer, since it affects any future H-1B visa or green card plans.
Align your training plan to O*NET classifications
Designated sponsors build your DS-2019 training plan around recognized occupational categories. Review the O*NET profile for AI Product Managers before your host employer drafts the plan, so the documented skills and duties match what USCIS and the State Department expect to see.
AI Product Manager J-1 Visa: Frequently Asked Questions
Which J-1 program category fits an AI Product Manager role?
It depends on your career stage. If you're a current student completing a degree with a practical training component, the Intern category applies. If you've already earned a relevant degree and have at least one year of post-degree experience in technology or product management, the Trainee category is the correct fit. Research Scholar applies only in academic or research institution settings, not commercial product roles.
Who actually sponsors my J-1 visa if I'm hired as an AI Product Manager?
Your hiring company is the host organization, not the visa sponsor. The J-1 sponsor is a U.S. Department of State-designated organization, such as Cultural Vistas, AIPT, or IIE, that issues your DS-2019 form, reviews your training plan, and monitors your compliance throughout the program. Your employer and the designated sponsor must coordinate before your exchange visit can begin.
How do I find AI Product Manager roles where the host employer is already set up for J-1 programs?
Use Migrate Mate to search for AI Product Manager positions at U.S. employers whose hiring patterns align with exchange visitor sponsorship. Hosts with existing sponsor relationships move faster because the DS-2019 process is already familiar to their HR and legal teams, which matters when your program start date is fixed.
Does the two-year home residency requirement apply to AI Product Manager J-1 holders?
It can. The two-year home residency requirement under INA Section 212(e) applies if your J-1 program was funded by your home government or the U.S. government, or if your skills appear on your home country's Exchange Visitor Skills List. AI and technology skills are increasingly listed by some countries. Confirm your status with your designated sponsor before accepting an offer, since this requirement blocks H-1B and green card applications until it's satisfied or waived.
Can I change employers during my J-1 Trainee program if a better AI product role comes up?
Not without restarting the process. Your DS-2019 is issued for a specific host organization and an approved training plan tied to that employer. Switching hosts requires your designated sponsor to issue a new DS-2019 and approve a revised plan. If your new host has no existing sponsor relationship, you'll need to establish one before any transfer can happen, which adds significant lead time.