J-1 Visa Generative AI Engineer Jobs
Generative AI Engineer roles in the United States are available to exchange visitors through J-1 visa sponsorship under the Trainee or Research Scholar category, depending on your career stage. Designated sponsor organizations issue the DS-2019, and host employers provide the technical training environment. No lottery or annual cap applies.
See All Generative AI Engineer JobsOverview
Showing 5 of 7+ Generative AI Engineer jobs
Have you applied for this role?
Have you applied for this role?
Have you applied for this role?
Have you applied for this role?
Have you applied for this role?
See all 7+ Generative AI Engineer jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Generative AI Engineer roles.
Get Access To All JobsOverview:
The Generative AI Research Engineer Intern conducts primary and secondary research of advanced and emerging healthcare informatics technology with a focus on Generative AI and emerging Artificial General Intelligence technology for healthcare treatment, payment, and operations use cases. Creates research papers, analytical reports, proposals, and educational material. Maintains a deep understanding of technology trends and hands-on experience with relevant technologies. Develops generative AI models, architectures, databases, and systems to improve healthcare solutions. We are currently looking for interns who can start in January 2026. If you are looking for a Summer start date, please keep an eye on our website for openings early next year.
Responsibilities:
NOTE: There are multiple open intern positions. Hours and length of assignment will be at the intern's choice from 20 - 40 hours per week with a minimum of one semester up to one year.
Technical Expertise
- Demonstrates a strong understanding of technology trends, research, and emerging technologies relevant to the healthcare industry, particularly in Generative AI.
- Assists in developing and improving LLMs and ML tools used across the organization.
- Assists in establishing and maintaining an Artificial Intelligence Governance Program.
Communication & Collaboration
- Communicates technology-related updates and requirements to other departments and contributes to presentations for senior management.
- Collaborates with research and development teams, product management, and strategic analysts to support ongoing projects.
Leadership & Management
- Partners with Business Units to provide reliable intelligence, validated technology options, and insights on enterprise and industry trends.
- Supports technology project teams by coordinating specific tasks, assisting with day-to-day operations, and contributing to the successful delivery of solutions.
- Assists in collaborative efforts with academic research teams, practicums, internships, and vendor POCs.
External Relationships & Partnerships
- Supports vendor evaluations and contributes to collaborations with vendors.
- Assists as a liaison between academic institutions, professional organizations, and research groups as needed.
Other
- Support the Academic Corporate Engagement efforts to develop research and educational talent, with a focus on enhancing health tech knowledge and skills.
- Complete all responsibilities and goals outlined in the internship program.
- Complete all special projects and other duties as assigned.
- Must be able to perform duties with or without reasonable accommodation.
This job description is intended to describe the general nature and level of work being performed in this internship. It is not an exhaustive list of responsibilities, duties, and skills required and does not constitute an employment agreement. This job description is subject to change as Cotiviti’s needs and requirements of the internship evolve.
Qualifications
- Currently pursuing or recently completed an advanced degree in healthcare, technology, or a related field (e.g., Biomedical Informatics, Computer Science) with preference of a PhD.
- Demonstrated interest or experience in AI, healthcare technology, or informatics research.
- Strong foundational knowledge in generative AI model development, architectures, and vector databases.
- Hands-on experience with working with Machine Learning and Deep Learning models. Experience with LLM/RAG models and LLM fine-tuning is a plus.
- Hands-on experience working with cloud services (AWS/Azure), large data sets, and building data pipelines for ML solutions. Experience with vector embeddings and databases is a plus.
- Ability to work collaboratively and communicate effectively with cross-functional teams.
Mental Requirements:
- Communicating with others to exchange information.
- Assessing the accuracy, neatness, and thoroughness of the work assigned.
Physical Requirements and Working Conditions:
- Remaining in a stationary position, often standing or sitting for prolonged periods.
- Repeating motions that may include the wrists, hands, and/or fingers.
- Must be able to provide a dedicated, secure work area.
- Must be able to provide high-speed internet access/connectivity and office setup and maintenance.
- No adverse environmental conditions are expected.
Compensation:
- Base compensation ranges from $32.00 to $40.00 per hour. Specific offers are determined by various factors, such as experience, education, skills, certifications, and other business needs.
Nonexempt employees are eligible to receive overtime pay for hours worked in excess of 40 hours in a given week, or as otherwise required by applicable state law.
Date of posting: 1/7/2026
Applications are assessed on a rolling basis. We anticipate that the application window will close on 4/7/2026, but the application window may change depending on the volume of applications received or close immediately if a qualified candidate is selected.
LI-DNP
LI-LL1
LI-remote
intern
Overview:
The Generative AI Research Engineer Intern conducts primary and secondary research of advanced and emerging healthcare informatics technology with a focus on Generative AI and emerging Artificial General Intelligence technology for healthcare treatment, payment, and operations use cases. Creates research papers, analytical reports, proposals, and educational material. Maintains a deep understanding of technology trends and hands-on experience with relevant technologies. Develops generative AI models, architectures, databases, and systems to improve healthcare solutions. We are currently looking for interns who can start in January 2026. If you are looking for a Summer start date, please keep an eye on our website for openings early next year.
Responsibilities:
NOTE: There are multiple open intern positions. Hours and length of assignment will be at the intern's choice from 20 - 40 hours per week with a minimum of one semester up to one year.
Technical Expertise
- Demonstrates a strong understanding of technology trends, research, and emerging technologies relevant to the healthcare industry, particularly in Generative AI.
- Assists in developing and improving LLMs and ML tools used across the organization.
- Assists in establishing and maintaining an Artificial Intelligence Governance Program.
Communication & Collaboration
- Communicates technology-related updates and requirements to other departments and contributes to presentations for senior management.
- Collaborates with research and development teams, product management, and strategic analysts to support ongoing projects.
Leadership & Management
- Partners with Business Units to provide reliable intelligence, validated technology options, and insights on enterprise and industry trends.
- Supports technology project teams by coordinating specific tasks, assisting with day-to-day operations, and contributing to the successful delivery of solutions.
- Assists in collaborative efforts with academic research teams, practicums, internships, and vendor POCs.
External Relationships & Partnerships
- Supports vendor evaluations and contributes to collaborations with vendors.
- Assists as a liaison between academic institutions, professional organizations, and research groups as needed.
Other
- Support the Academic Corporate Engagement efforts to develop research and educational talent, with a focus on enhancing health tech knowledge and skills.
- Complete all responsibilities and goals outlined in the internship program.
- Complete all special projects and other duties as assigned.
- Must be able to perform duties with or without reasonable accommodation.
This job description is intended to describe the general nature and level of work being performed in this internship. It is not an exhaustive list of responsibilities, duties, and skills required and does not constitute an employment agreement. This job description is subject to change as Cotiviti’s needs and requirements of the internship evolve.
Qualifications
- Currently pursuing or recently completed an advanced degree in healthcare, technology, or a related field (e.g., Biomedical Informatics, Computer Science) with preference of a PhD.
- Demonstrated interest or experience in AI, healthcare technology, or informatics research.
- Strong foundational knowledge in generative AI model development, architectures, and vector databases.
- Hands-on experience with working with Machine Learning and Deep Learning models. Experience with LLM/RAG models and LLM fine-tuning is a plus.
- Hands-on experience working with cloud services (AWS/Azure), large data sets, and building data pipelines for ML solutions. Experience with vector embeddings and databases is a plus.
- Ability to work collaboratively and communicate effectively with cross-functional teams.
Mental Requirements:
- Communicating with others to exchange information.
- Assessing the accuracy, neatness, and thoroughness of the work assigned.
Physical Requirements and Working Conditions:
- Remaining in a stationary position, often standing or sitting for prolonged periods.
- Repeating motions that may include the wrists, hands, and/or fingers.
- Must be able to provide a dedicated, secure work area.
- Must be able to provide high-speed internet access/connectivity and office setup and maintenance.
- No adverse environmental conditions are expected.
Compensation:
- Base compensation ranges from $32.00 to $40.00 per hour. Specific offers are determined by various factors, such as experience, education, skills, certifications, and other business needs.
Nonexempt employees are eligible to receive overtime pay for hours worked in excess of 40 hours in a given week, or as otherwise required by applicable state law.
Date of posting: 1/7/2026
Applications are assessed on a rolling basis. We anticipate that the application window will close on 4/7/2026, but the application window may change depending on the volume of applications received or close immediately if a qualified candidate is selected.
LI-DNP
LI-LL1
LI-remote
intern
See all 7+ Generative AI Engineer jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Generative AI Engineer roles.
Get Access To All JobsTips for Finding J-1 Visa Sponsorship as a Generative AI Engineer
Align your portfolio with specialty occupation standards
Before applying, document your generative AI work in terms O*NET recognizes for this occupation: model fine-tuning, prompt engineering, retrieval-augmented generation. Consuls and sponsors scrutinize whether your background genuinely fits the host's training objectives.
Distinguish Trainee from Research Scholar before applying
Trainee category suits you if you graduated within the past 12 months or are mid-career gaining U.S. industry exposure. Research Scholar applies if you're conducting original AI research at a university or institute. Applying under the wrong category triggers DS-2019 rejection.
Verify your host employer's compliance obligations early
Host companies must sign a formal training plan and meet DOL workplace standards before your sponsor issues the DS-2019. Ask hiring managers whether they've hosted J-1 trainees before and which designated sponsor organization they work with.
Search Migrate Mate to find J-1-aligned AI roles
Generative AI positions vary widely in whether the host is set up for J-1 exchange visitors. Use Migrate Mate to filter for employers in AI research, cloud infrastructure, and enterprise software who have structured exchange visitor programs already in place.
Flag the two-year home residency rule before accepting offers
If your J-1 funding comes from your home government or a U.S. government source, or if your home country lists your occupation on its skills list, you'll face a two-year home residency requirement that blocks H-1B and green card paths until fulfilled or waived.
Request your DS-2019 well ahead of consular scheduling
J-1 consular appointment wait times at major U.S. embassies often run six to twelve weeks. Your designated sponsor must issue the DS-2019 before you can book, so initiate the training plan approval process at least three months before your intended start date.
Generative AI Engineer jobs are hiring across the US. Find yours.
Find Generative AI Engineer JobsGenerative AI Engineer J-1 Visa: Frequently Asked Questions
Which J-1 program category fits a Generative AI Engineer role?
It depends on your career stage. Current students completing degree-related training typically use the Intern category. Professionals within five years of graduation, or those with substantial work experience in AI, use the Trainee category. Researchers conducting original generative AI studies at a university or national lab qualify for the Research Scholar category, which carries a longer duration of stay.
Who actually sponsors the J-1 visa for a Generative AI Engineer?
The visa sponsor is a U.S. Department of State-designated organization, such as CIEE, Cultural Vistas, or IIE, not the employer. The hiring company is the host, responsible for providing the technical training environment and signing the training plan. The designated sponsor issues your DS-2019, monitors compliance, and serves as your point of contact with the State Department throughout the exchange.
Can I use Migrate Mate to find Generative AI Engineer roles open to J-1 exchange visitors?
Yes. Migrate Mate lets you search for U.S. employers in AI and machine learning who have experience hosting J-1 exchange visitors. Because not every generative AI team has a training plan infrastructure in place, filtering for employers already familiar with the exchange visitor program saves significant time before you invest in the DS-2019 process.
Does the two-year home residency requirement affect Generative AI Engineers on J-1?
It can. The requirement applies if your exchange is funded by your home government, a U.S. government agency, or if your home country has designated your occupation on its exchange visitor skills list. For AI engineers from countries that actively list technology roles, this restriction is common. It blocks a change to H-1B or immigrant visa status until you complete two years at home or obtain a waiver.
What does the training plan need to cover for a J-1 Generative AI Engineer placement?
The training plan, Form DS-7002, must describe specific skills you'll develop that aren't available in your home country, tied to generative AI work such as large language model deployment, reinforcement learning from human feedback, or AI safety evaluation. Vague plans referencing only general software engineering get rejected. Your host employer and designated sponsor complete the form jointly before the DS-2019 is issued.
See which Generative AI Engineer employers are hiring and sponsoring visas right now.
Search Generative AI Engineer Jobs