J-1 Visa Material Handler Jobs
Material Handler roles in U.S. warehouses, manufacturing plants, and distribution centers are accessible to international candidates through the J-1 visa Trainee or Intern program categories, both of which require a designated sponsor organization to issue your DS-2019 and provide formal sponsorship throughout your placement.
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Get Access To All JobsAt Toyota Research Institute (TRI), we’re on a mission to improve the quality of human life. We’re developing new tools and capabilities to amplify the human experience. To lead this transformative shift in mobility, we’ve built a world-class team advancing the state of the art in AI, robotics, driving, and material sciences.
This is a paid 12-week internship opportunity and is a hybrid, in-office role.
Here’s a glimpse into the Internship experience from some of our TRI interns!
The Team: The Accelerated Materials Design and Discovery (AMDD) Team at Toyota Research Institute is focused on accelerating the design and discovery of new materials to enable emissions-free mobility. Materials are at the heart of clean energy technologies, such as batteries, fuel cells, solar cells, hydrogen electrolysis, and carbon capture, and discovering new materials can deliver the breakthroughs needed to displace traditional fossil fuels. Our team develops tools to overcome roadblocks in the materials discovery process using software, machine learning, robotics, and automation. Our customers are scientists and engineers advancing new batteries, fuel cell catalysts, and other materials development projects. By increasing the speed of discovery, we can iterate faster and bring new materials from the lab to the world at a much-needed, faster pace.
The Opportunity:
The intern will work within the AMDD team on a project focused on developing advanced analysis tools and pipelines for X-Ray diffraction (XRD) patterns of mixed-metal oxide thin-films. They will use and develop automated Rietveld refinement tools to label XRD patterns and understand structure-property-processing relationships across a compositionally diverse dataset. They will perform phase identification on XRD patterns ranging from unary to ternary metal-oxides, and develop pipelines to perform automatic or human-assisted labeling of experimental data. They will investigate crystallite size, texturing, and strain across the dataset. This work will contribute to the development of automated workflows for phase identification from XRD, an essential bottleneck in accelerating high-throughput materials discovery.
Responsibilities
- Scope the project to align with the core research efforts.
- Be the primary driver of the technical plan (e.g., model development, analysis plan) with regular feedback from mentors.
- Execute the project using TRI resources.
- Present the project’s approach and findings in research meetings.
Qualifications
- Pursuing a PhD in Materials Science, Chemistry, Physics, or related fields.
- Familiar with running tabletop or synchrotron XRD experiments.
- 2+ years experience in performing Rietveld refinement, bonus if familiar with analyzing different materials classes.
- Experience with basic data analysis in Python.
- A track record of executing research projects evidenced by journal publications.
- Strong communication skills and ability to work and foster collaboration across interdisciplinary teams.
- Desire to work on challenging and open-ended research projects.
Bonus Qualifications
- Experience using XRD phase identification software, e.g. DARA, GSAS-II, MAUD, Spotlight.
- Experience working with thin-film metal oxides.
- Comfortable working with large datasets.
- Experience with code best practices and collaborative software development using git.
The pay range for this position at commencement of employment is expected to be between $45 and $65/hour for California-based roles. Base pay offered will depend on multiple individualized factors, including, but not limited to, a candidate's experience, skills, job-related knowledge, and market location. TRI offers a generous benefits package including medical, dental, and vision insurance, and paid time off benefits (including holiday pay and sick time). Additional details regarding these benefit plans will be provided if an employee receives an offer of employment.
Please reference this Candidate Privacy Notice to inform you of the categories of personal information that we collect from individuals who inquire about and/or apply to work for Toyota Research Institute, Inc. or its subsidiaries, including Toyota A.I. Ventures GP, L.P., and the purposes for which we use such personal information.
TRI is fueled by a diverse and inclusive community of people with unique backgrounds, education and life experiences. We are dedicated to fostering an innovative and collaborative environment by living the values that are an essential part of our culture. We believe diversity makes us stronger and are proud to provide Equal Employment Opportunity for all, without regard to an applicant’s race, color, creed, gender, gender identity or expression, sexual orientation, national origin, age, physical or mental disability, medical condition, religion, marital status, genetic information, veteran status, or any other status protected under federal, state or local laws.
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Pursuant to the San Francisco Fair Chance Ordinance, we will consider qualified applicants with arrest and conviction records for employment.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
At Toyota Research Institute (TRI), we’re on a mission to improve the quality of human life. We’re developing new tools and capabilities to amplify the human experience. To lead this transformative shift in mobility, we’ve built a world-class team advancing the state of the art in AI, robotics, driving, and material sciences.
This is a paid 12-week internship opportunity and is a hybrid, in-office role.
Here’s a glimpse into the Internship experience from some of our TRI interns!
The Team: The Accelerated Materials Design and Discovery (AMDD) Team at Toyota Research Institute is focused on accelerating the design and discovery of new materials to enable emissions-free mobility. Materials are at the heart of clean energy technologies, such as batteries, fuel cells, solar cells, hydrogen electrolysis, and carbon capture, and discovering new materials can deliver the breakthroughs needed to displace traditional fossil fuels. Our team develops tools to overcome roadblocks in the materials discovery process using software, machine learning, robotics, and automation. Our customers are scientists and engineers advancing new batteries, fuel cell catalysts, and other materials development projects. By increasing the speed of discovery, we can iterate faster and bring new materials from the lab to the world at a much-needed, faster pace.
The Opportunity:
The intern will work within the AMDD team on a project focused on developing advanced analysis tools and pipelines for X-Ray diffraction (XRD) patterns of mixed-metal oxide thin-films. They will use and develop automated Rietveld refinement tools to label XRD patterns and understand structure-property-processing relationships across a compositionally diverse dataset. They will perform phase identification on XRD patterns ranging from unary to ternary metal-oxides, and develop pipelines to perform automatic or human-assisted labeling of experimental data. They will investigate crystallite size, texturing, and strain across the dataset. This work will contribute to the development of automated workflows for phase identification from XRD, an essential bottleneck in accelerating high-throughput materials discovery.
Responsibilities
- Scope the project to align with the core research efforts.
- Be the primary driver of the technical plan (e.g., model development, analysis plan) with regular feedback from mentors.
- Execute the project using TRI resources.
- Present the project’s approach and findings in research meetings.
Qualifications
- Pursuing a PhD in Materials Science, Chemistry, Physics, or related fields.
- Familiar with running tabletop or synchrotron XRD experiments.
- 2+ years experience in performing Rietveld refinement, bonus if familiar with analyzing different materials classes.
- Experience with basic data analysis in Python.
- A track record of executing research projects evidenced by journal publications.
- Strong communication skills and ability to work and foster collaboration across interdisciplinary teams.
- Desire to work on challenging and open-ended research projects.
Bonus Qualifications
- Experience using XRD phase identification software, e.g. DARA, GSAS-II, MAUD, Spotlight.
- Experience working with thin-film metal oxides.
- Comfortable working with large datasets.
- Experience with code best practices and collaborative software development using git.
The pay range for this position at commencement of employment is expected to be between $45 and $65/hour for California-based roles. Base pay offered will depend on multiple individualized factors, including, but not limited to, a candidate's experience, skills, job-related knowledge, and market location. TRI offers a generous benefits package including medical, dental, and vision insurance, and paid time off benefits (including holiday pay and sick time). Additional details regarding these benefit plans will be provided if an employee receives an offer of employment.
Please reference this Candidate Privacy Notice to inform you of the categories of personal information that we collect from individuals who inquire about and/or apply to work for Toyota Research Institute, Inc. or its subsidiaries, including Toyota A.I. Ventures GP, L.P., and the purposes for which we use such personal information.
TRI is fueled by a diverse and inclusive community of people with unique backgrounds, education and life experiences. We are dedicated to fostering an innovative and collaborative environment by living the values that are an essential part of our culture. We believe diversity makes us stronger and are proud to provide Equal Employment Opportunity for all, without regard to an applicant’s race, color, creed, gender, gender identity or expression, sexual orientation, national origin, age, physical or mental disability, medical condition, religion, marital status, genetic information, veteran status, or any other status protected under federal, state or local laws.
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Pursuant to the San Francisco Fair Chance Ordinance, we will consider qualified applicants with arrest and conviction records for employment.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
See all 47+ J-1 Visa Material Handler Jobs
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Get Access To All JobsTips for Finding J-1 Visa Sponsorship in Material Handler
Verify your training plan matches the role
J-1 Trainee and Intern placements require a structured training plan that maps your warehouse or logistics tasks to clear learning objectives. A plan listing only repetitive physical duties without skill progression will get rejected by your designated sponsor.
Confirm the host employer uses E-Verify
Many distribution and fulfillment employers run mandatory E-Verify checks on all workers. Ask your prospective host employer about their I-9 and E-Verify process before accepting an offer, since J-1 status must be confirmed through that system.
Search for J-1 compatible roles on Migrate Mate
Material Handler openings that align with J-1 sponsorship requirements are concentrated in specific industries and employer types. Use Migrate Mate to filter for host employers in logistics, manufacturing, and warehousing who have a history of supporting exchange visitor placements.
Check whether your role triggers the two-year rule
If your home country's government or an exchange program funded your participation, the two-year home residency requirement may apply after your J-1 ends. Review your DS-2019 and consult your designated sponsor before making post-placement U.S. plans.
Document prior materials-handling experience carefully
Designated sponsors evaluate whether your background justifies a Trainee rather than Intern classification. Forklift certifications, inventory system experience, and safety training records from your home country strengthen your training plan and support the sponsoring organization's approval decision.
Time your DS-2019 request around employer onboarding
Your designated sponsor must issue the DS-2019 before you can schedule a consular appointment. Coordinate your start date with both the host employer's onboarding timeline and your sponsor's processing window, which typically runs two to four weeks after a completed application.
Material Handler J-1 Visa: Frequently Asked Questions
Which J-1 program category fits a Material Handler placement?
Current university students enrolled outside the U.S. typically qualify under the J-1 Intern category. If you have completed your degree and have at least one year of relevant work experience in logistics, warehousing, or manufacturing, the J-1 Trainee category applies. Your designated sponsor organization, not your host employer, determines which category fits your background and issues the DS-2019 accordingly.
Who sponsors my J-1 visa for a Material Handler job?
The J-1 visa sponsor is a U.S. Department of State-designated organization such as CIEE, Cultural Vistas, or AIPT, not your host employer. The designated sponsor reviews your training plan, issues the DS-2019 form, monitors your placement for compliance, and serves as your primary point of contact with the State Department throughout your exchange program.
How do I find Material Handler host employers open to J-1 placements?
Most distribution, fulfillment, and manufacturing employers do not advertise J-1 compatibility explicitly, so targeted searching matters. Migrate Mate lets you filter roles by employer type and work authorization context, helping you identify host employers in logistics and warehousing who have supported exchange visitor placements. From there, you confirm J-1 eligibility directly with the employer and your chosen designated sponsor.
Can a Material Handler role qualify as a specialty occupation for J-1 purposes?
J-1 Trainee and Intern categories do not require specialty occupation status the way H-1B visa does, so Material Handler roles can qualify as long as the position supports a structured, progressive training plan with defined learning objectives. Purely repetitive or unskilled roles without a documented skill-development component will not meet designated sponsor requirements for program approval.
What documents does a J-1 Trainee need before starting a Material Handler placement?
You need a signed DS-7002 training plan agreed to by you, your host employer, and your designated sponsor, plus a valid DS-2019 from the sponsor organization. Your host employer will also require I-9 documentation verifying your J-1 status. Depending on the employer, forklift certifications or prior safety training records from your home country may be required before your first shift.