J-1 Visa Artificial Intelligence Scientist Jobs
Artificial Intelligence Scientist roles in the U.S. typically qualify for J-1 sponsorship under the Research Scholar or Specialist category, issued by a State Department-designated sponsor organization. Host employers range from university AI labs to federal research institutes. Exchange visitors in this field have no cap or lottery to navigate, but the two-year home residency requirement applies to many participants.
See All Artificial Intelligence Scientist JobsOverview
Showing 5 of 35+ Artificial Intelligence Scientist 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 35+ Artificial Intelligence Scientist jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Artificial Intelligence Scientist roles.
Get Access To All JobsPosition Summary
The Data Science Intern – AI Project Acceleration will support the rapid development, prototyping, and scaling of applied AI and data science solutions across the enterprise. This role is focused on accelerating proof of concept (PoC) and early stage AI initiatives by supporting data preparation, model experimentation, automation, and performance analysis. The intern will work closely with IT and business stakeholders to help transform data into actionable insights and deployable AI capabilities that improve speed, quality, and decision making across operations.
Key Responsibilities
- Support the development and acceleration of AI and data science projects, particularly PoCs and pilot initiatives, by assisting with data exploration, feature engineering, and model experimentation.
- Prepare, clean, and analyze structured and semi structured data from enterprise systems to enable AI use cases.
- Assist in building and refining machine learning models using Python and common data science libraries.
- Contribute to the creation and maintenance of data pipelines, notebooks, and reproducible workflows.
- Evaluate model performance and help document findings, assumptions, and limitations.
- Collaborate with cross functional teams (IT, Engineering, Manufacturing, Finance, HR, etc.) to understand business problems and translate them into data driven approaches.
- Help automate repetitive data analysis or reporting tasks to improve efficiency.
- Document technical work clearly to support knowledge sharing and future scalability.
Learning & Development Opportunities
- Hands on exposure to enterprise AI initiatives, including applied machine learning, analytics, and automation.
- Experience working with real world datasets and business driven AI problems.
- Mentorship from experienced data scientists, IT leaders, and AI practitioners.
- Insight into how AI projects progress from concept to scalable solution in a corporate environment.
Required Qualifications
- Currently pursuing a Master’s degree in Data Science, Computer Science, Engineering, Statistics, Mathematics, or a related field.
- Foundational knowledge of Python for data analysis and modeling.
- Familiarity with data science concepts such as regression, classification, clustering, and model evaluation.
- Experience using Jupyter Notebooks or similar tools.
- Basic understanding of data structures, statistics, and data quality concepts.
- Strong analytical thinking and problem solving skills.
- Ability to communicate technical concepts clearly to both technical and non technical audiences.
Preferred Qualifications
- Experience with common Python libraries (e.g., pandas, NumPy, scikit learn).
- Exposure to machine learning, AI, or analytics projects through coursework, research, or internships.
- Familiarity with version control tools (e.g., Git).
- Interest in applied AI use cases such as process optimization, predictive analytics, or automation.
- Curiosity about how AI can be scaled and governed in an enterprise environment.
Duration
Internship (Summer or Semester Based; flexible depending on academic schedule)
Why Join Us
- Work on real AI projects that matter to the business.
- Gain practical experience accelerating AI initiatives from idea to implementation.
Position Type:
Intern (Trainee)
Cooper Standard is proud of its diverse workforce and committed to providing equal employment opportunities to applicants and employees without regard to race, color, religion, sex, national origin, genetic information, physical or mental disability, age, veteran or military status, or any other characteristic protected by applicable law. We are dedicated to creating an environment at work that not only values diversity but also encourages inclusion and a sense of belonging. We firmly believe that a diverse workplace fosters an environment where our employees can flourish and provide superior service to our customers. Because we recognize and value the range of ways in which people acquire experiences, whether personal, professional, or via education or volunteerism, we invite interested applicants to evaluate the key duties and requirements and apply for any opportunities that fit your experience and qualifications. Applicants with disabilities may be entitled to reasonable accommodations under the Americans with Disabilities Act, as well as certain state and/or local laws. If you believe you require such assistance to complete our online application or to participate in an interview, you (or someone on your behalf) may request assistance by emailing recruitment@cooperstandard.com with a description of the accommodation you seek. Application materials submitted to this email address will not be considered.
Remote Status:
Hybrid
Position Summary
The Data Science Intern – AI Project Acceleration will support the rapid development, prototyping, and scaling of applied AI and data science solutions across the enterprise. This role is focused on accelerating proof of concept (PoC) and early stage AI initiatives by supporting data preparation, model experimentation, automation, and performance analysis. The intern will work closely with IT and business stakeholders to help transform data into actionable insights and deployable AI capabilities that improve speed, quality, and decision making across operations.
Key Responsibilities
- Support the development and acceleration of AI and data science projects, particularly PoCs and pilot initiatives, by assisting with data exploration, feature engineering, and model experimentation.
- Prepare, clean, and analyze structured and semi structured data from enterprise systems to enable AI use cases.
- Assist in building and refining machine learning models using Python and common data science libraries.
- Contribute to the creation and maintenance of data pipelines, notebooks, and reproducible workflows.
- Evaluate model performance and help document findings, assumptions, and limitations.
- Collaborate with cross functional teams (IT, Engineering, Manufacturing, Finance, HR, etc.) to understand business problems and translate them into data driven approaches.
- Help automate repetitive data analysis or reporting tasks to improve efficiency.
- Document technical work clearly to support knowledge sharing and future scalability.
Learning & Development Opportunities
- Hands on exposure to enterprise AI initiatives, including applied machine learning, analytics, and automation.
- Experience working with real world datasets and business driven AI problems.
- Mentorship from experienced data scientists, IT leaders, and AI practitioners.
- Insight into how AI projects progress from concept to scalable solution in a corporate environment.
Required Qualifications
- Currently pursuing a Master’s degree in Data Science, Computer Science, Engineering, Statistics, Mathematics, or a related field.
- Foundational knowledge of Python for data analysis and modeling.
- Familiarity with data science concepts such as regression, classification, clustering, and model evaluation.
- Experience using Jupyter Notebooks or similar tools.
- Basic understanding of data structures, statistics, and data quality concepts.
- Strong analytical thinking and problem solving skills.
- Ability to communicate technical concepts clearly to both technical and non technical audiences.
Preferred Qualifications
- Experience with common Python libraries (e.g., pandas, NumPy, scikit learn).
- Exposure to machine learning, AI, or analytics projects through coursework, research, or internships.
- Familiarity with version control tools (e.g., Git).
- Interest in applied AI use cases such as process optimization, predictive analytics, or automation.
- Curiosity about how AI can be scaled and governed in an enterprise environment.
Duration
Internship (Summer or Semester Based; flexible depending on academic schedule)
Why Join Us
- Work on real AI projects that matter to the business.
- Gain practical experience accelerating AI initiatives from idea to implementation.
Position Type:
Intern (Trainee)
Cooper Standard is proud of its diverse workforce and committed to providing equal employment opportunities to applicants and employees without regard to race, color, religion, sex, national origin, genetic information, physical or mental disability, age, veteran or military status, or any other characteristic protected by applicable law. We are dedicated to creating an environment at work that not only values diversity but also encourages inclusion and a sense of belonging. We firmly believe that a diverse workplace fosters an environment where our employees can flourish and provide superior service to our customers. Because we recognize and value the range of ways in which people acquire experiences, whether personal, professional, or via education or volunteerism, we invite interested applicants to evaluate the key duties and requirements and apply for any opportunities that fit your experience and qualifications. Applicants with disabilities may be entitled to reasonable accommodations under the Americans with Disabilities Act, as well as certain state and/or local laws. If you believe you require such assistance to complete our online application or to participate in an interview, you (or someone on your behalf) may request assistance by emailing recruitment@cooperstandard.com with a description of the accommodation you seek. Application materials submitted to this email address will not be considered.
Remote Status:
Hybrid
See all 35+ Artificial Intelligence Scientist jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Artificial Intelligence Scientist roles.
Get Access To All JobsTips for Finding J-1 Visa Sponsorship as an Artificial Intelligence Scientist
Confirm your J-1 category before applying
Research Scholar fits those with a graduate degree pursuing independent research. Specialist applies to experts in a field requiring advanced knowledge. Applying under the wrong category can delay or void your DS-2019, so verify which fits your credentials before contacting host institutions.
Build a research profile that satisfies sponsors
State Department-designated sponsors like IIE or Cultural Vistas evaluate your publication record, institutional affiliations, and research plan before issuing a DS-2019. Peer-reviewed AI publications and a clear, project-specific training plan strengthen your case significantly.
Target host employers with existing J-1 infrastructure
Universities, national laboratories, and federally funded AI research centers already have relationships with designated sponsors and understand DS-2019 timelines. Use Migrate Mate to filter for these types of employers when searching for Artificial Intelligence Scientist roles with J-1 compatibility.
Address the two-year home residency requirement early
Many AI Scientist participants on J-1 visas are subject to the two-year home-country physical presence requirement, especially if funded by a government or international organization. A waiver through the No Objection Statement route or a hardship waiver takes months to process, so raise this with your sponsor before accepting an offer.
Align your DS-2019 training plan to specific AI deliverables
Sponsors require a structured training plan signed by your host employer. For AI research roles, list specific methodologies, datasets, model types, and lab collaborations you'll work on. Vague plans citing only broad areas like 'machine learning research' are frequently sent back for revision.
Track your J-1 status end date through SEVIS
Your authorized stay is tied to the program end date on your DS-2019, not a fixed visa validity period. SEVIS records control your legal status, and your designated sponsor must authorize any program extension before that date passes. A 30-day grace period follows program completion.
Artificial Intelligence Scientist jobs are hiring across the US. Find yours.
Find Artificial Intelligence Scientist JobsArtificial Intelligence Scientist J-1 Visa: Frequently Asked Questions
Which J-1 program category applies to Artificial Intelligence Scientist roles?
Research Scholar is the most common category for AI Scientists conducting independent research at a U.S. university or research institute. Specialist applies if you're an established expert in a narrowly defined AI subfield. Intern or Trainee categories fit students or early-career professionals, but those require enrollment or recent graduation and are subject to shorter program durations.
Who actually sponsors a J-1 visa for an AI Scientist position?
The visa sponsor is a U.S. Department of State-designated organization, such as IIE or Cultural Vistas, not your host employer. The host institution, whether a university AI lab or a national research center, serves as the placement site. The designated sponsor issues your DS-2019, monitors your compliance with exchange visitor regulations, and is your primary point of contact for status questions.
How do I find AI Scientist positions where the host employer already understands J-1 sponsorship?
Many employers outside of academia are unfamiliar with the J-1 host organization model and mistake it for direct employer sponsorship. Migrate Mate helps you identify U.S. employers and research institutions that have posted roles compatible with J-1 exchange visitor placements, narrowing your search to organizations already equipped to work with designated sponsors.
Does the two-year home residency requirement apply to AI Scientists on J-1 visas?
It often does. If your J-1 exchange is funded, even partially, by your home government or a bilateral program, or if your field appears on the State Department's Skills List for your country, the two-year requirement applies. You'd need to fulfill it or obtain a waiver before changing to H-1B or permanent residence status. Check your DS-2019 for the INA 212(e) notation.
Can an AI Scientist on a J-1 visa work for a private tech company as the host employer?
Yes, private companies can serve as J-1 host employers for Research Scholar or Specialist participants, provided a designated sponsor agrees to administer the program. In practice, designated sponsors scrutinize private industry placements more closely than academic or nonprofit ones, and the host must demonstrate a genuine research or knowledge-exchange purpose that aligns with J-1 program objectives.
See which Artificial Intelligence Scientist employers are hiring and sponsoring visas right now.
Search Artificial Intelligence Scientist Jobs