J-1 Visa AI Intern Jobs
AI Intern roles in the U.S. fall under the J-1 visa Intern program category, open to current students or recent graduates pursuing practical training in artificial intelligence, machine learning, or data science. Securing sponsorship requires a designated sponsor organization to issue your DS-2019 before your internship begins.
Find J-1 Visa AI Intern JobsOverview
Showing 5 of 27+ AI Intern jobs
See all AI Intern Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new AI Intern roles.
Get Access To All Jobs<p><strong>AI Engineering Intern</strong></p>
<p><em><strong>Please note, this is a full-time internship running though Summer 2026 (June-August)</strong></em></p>
<p><strong>Location: </strong>Austin, TX (In-office Tues/Wed/Thurs)</p>
<p><strong>Eligibility:</strong> Must be currently enrolled at The University of Texas at Austin</p>
<p><strong>Duration:</strong> Summer 2026</p>
<p><strong>Schedule:</strong> Full-time, 40 hrs/week</p>
<p><strong>About Togetherwork </strong>Togetherwork is building the operating platform for member-based organizations across associations, nonprofits, camps, wellness, and faith-based institutions. As we scale through acquisition, we are redesigning how operations work — using AI and automation as core infrastructure. Our approach is simple: AI handles high-volume, repeatable work so our teams can focus on complex, high-value problems.</p>
<p> </p>
<p data-start="72" data-end="276"><strong data-start="72" data-end="89">Role Overview</strong><br data-start="89" data-end="92">We are hiring 3 high-caliber interns from UT Austin to help build and deploy AI and automation across our operations.<br data-start="209" data-end="212">This is a hands-on builder role — not research, not shadowing.</p>
<p data-start="278" data-end="520">You will work directly on:<br data-start="304" data-end="307">• AI-powered customer support systems<br data-start="344" data-end="347">• Automation of complex software implementations<br data-start="395" data-end="398">• Internal tooling across PSA, PMO, and managed services<br data-start="454" data-end="457">• LLM integrations (Claude + enterprise systems like Zendesk)</p>
<p data-start="522" data-end="586">Your work will ship into production and impact real customers.</p>
<hr data-start="588" data-end="591">
<p data-start="593" data-end="1734"><strong data-start="593" data-end="611">What You'll Do</strong><br data-start="611" data-end="614">• Leverage Togetherwork's existing enterprise AI platforms — Claude Enterprise and ChatGPT Enterprise — to design and deploy practical solutions for operational use cases<br data-start="784" data-end="787">• Assist with prompt engineering, custom GPT or Claude project configuration, and AI tool optimization tailored to Operations team needs<br data-start="923" data-end="926">• Partner with Operations team members to audit and map current workflows, identifying high-impact opportunities for automation and AI assistance<br data-start="1071" data-end="1074">• Build and test automated workflows that eliminate repetitive manual tasks across operational functions including onboarding, reporting, data entry, vendor management, and internal communications<br data-start="1270" data-end="1273">• Support the evaluation of additional AI tools and platforms that could complement or extend the current enterprise stack<br data-start="1395" data-end="1398">• Help create and maintain documentation for all automation builds, including workflow logic, tool configurations, and process change notes<br data-start="1537" data-end="1540">• Present findings and project updates to Operations stakeholders in clear, accessible language<br data-start="1635" data-end="1638">• Participate in team standups, project planning sessions, and cross-functional working groups</p>
<hr data-start="1736" data-end="1739">
<p data-start="1741" data-end="1764"><strong data-start="1741" data-end="1764">What You’ll Work On</strong></p>
<p data-start="1766" data-end="2045"><strong><em data-start="1766" data-end="1797">Customer Support (AI Systems)</em></strong><br data-start="1797" data-end="1800">• Connect Claude to Zendesk to auto-answer tickets and reduce backlog<br data-start="1869" data-end="1872">• Build AI ticket triage & routing, auto-response systems, and sentiment detection workflows<br data-start="1964" data-end="1967">• Develop AI-powered help centers that dynamically surface the right content</p>
<p data-start="2047" data-end="2358"><strong><em data-start="2047" data-end="2098">Professional Services (Implementation Automation)</em></strong><br data-start="2098" data-end="2101">• Analyze onboarding workflows (especially complex products like Associations)<br data-start="2179" data-end="2182">• Build AI-driven implementation workflows<br data-start="2224" data-end="2227">• Automate data migrations, configurations, and documentation generation<br data-start="2299" data-end="2302">• Integrate AI into PSA / PMO tools (e.g., Monday.com)</p>
<p data-start="2360" data-end="2592"><strong><em data-start="2360" data-end="2406">Managed Services (Automation & Intelligence)</em></strong><br data-start="2406" data-end="2409">• Reduce repeated payroll processing work<br data-start="2450" data-end="2453">• Build automation for billing, tax, donations, and workflows<br data-start="2514" data-end="2517">• Build integration between Claude & Monday.com for billing and workflows</p>
<p data-start="2594" data-end="2760"><strong><em data-start="2594" data-end="2629">Knowledge & Documentation Systems</em></strong><br data-start="2629" data-end="2632">• Build AI-powered help centers from documentation and tickets<br data-start="2694" data-end="2697">• Auto-generate help articles and identify documentation gaps</p>
<hr data-start="2762" data-end="2765">
<p data-start="2767" data-end="3546"><strong data-start="2767" data-end="2795">What You’ll Learn & Gain</strong><br data-start="2795" data-end="2798">• Direct, hands-on experience solving real operational challenges inside a high-growth, PE-backed SaaS organization<br data-start="2913" data-end="2916">• Daily use of and training on enterprise-grade AI platforms including Claude Enterprise and ChatGPT Enterprise<br data-start="3027" data-end="3030">• Broad exposure to how AI and automation are being deployed across a 25+ brand software portfolio<br data-start="3128" data-end="3131">• A tangible, results-driven portfolio project you can speak to confidently in future interviews<br data-start="3227" data-end="3230">• Deploying LLMs in production environments<br data-start="3273" data-end="3276">• Integrating AI into enterprise systems (Zendesk, CRM, PM tools)<br data-start="3341" data-end="3344">• Designing automation across a large-scale operations division<br data-start="3407" data-end="3410">• Driving measurable customer outcomes (efficiency, CSAT, cost reduction)<br data-start="3483" data-end="3486">• An opportunity for full-time employment after the summer</p>
<hr data-start="3548" data-end="3551">
<p data-start="3553" data-end="3571"><strong data-start="3553" data-end="3571">Qualifications</strong></p>
<p data-start="3573" data-end="4106"><strong><em data-start="3573" data-end="3583">Required</em></strong><br data-start="3583" data-end="3586">• Currently enrolled at UT Austin as a junior/senior or graduate student in Computer Science (CS), Software Engineering, Data Science/Data Analytics, AI, or relevant field<br data-start="3757" data-end="3760">• Hands-on experience with Claude (Anthropic) including enterprise features such as custom instructions, projects, skills, and knowledge management<br data-start="3907" data-end="3910">• Understanding of prompt engineering best practices and how to apply LLMs to business process improvement<br data-start="4016" data-end="4019">• Familiarity with Python for basic scripting, API integrations, or data manipulation</p>
<p data-start="4108" data-end="4565"><strong><em data-start="4108" data-end="4119">Preferred</em></strong><br data-start="4119" data-end="4122">• Student in the Machine Learning and Artificial Intelligence Concentration program of study<br data-start="4214" data-end="4217">• Familiarity with Zendesk or PM tools<br data-start="4255" data-end="4258">• Experience using the Anthropic Claude API or OpenAI API for custom integrations or workflow automation<br data-start="4362" data-end="4365">• Exposure to workflow automation platforms such as Zapier, Make, or Power Automate<br data-start="4448" data-end="4451">• Familiarity with REST APIs, webhooks, or data pipeline concepts<br data-start="4516" data-end="4519">• Experience with no-code/low-code platforms</p>
<hr data-start="4567" data-end="4570">
<p data-start="4572" data-end="5066"><strong data-start="4572" data-end="4606">What Makes This Role Different</strong><br data-start="4606" data-end="4609">• You will build real systems used by real teams<br data-start="4657" data-end="4660">• Your work will directly impact support backlog and efficiency<br data-start="4723" data-end="4726">• You’ll work across multiple functions<br data-start="4765" data-end="4768">• You’ll help build the AI layer of a multi-product SaaS company<br data-start="4832" data-end="4835">• Day-to-day mentorship from members of the Togetherwork executive team, including the Senior VP of Operations and VP of CX Strategy<br data-start="4967" data-end="4970">• Access to the Chief Technology Officer who will meet with you monthly during your internship</p>
<hr data-start="5068" data-end="5071">
<p data-start="5073" data-end="5268"><strong data-start="5073" data-end="5095">Success Looks Like</strong><br data-start="5095" data-end="5098">• Deployed AI workflows into Zendesk<br data-start="5134" data-end="5137">• Automated onboarding processes<br data-start="5169" data-end="5172">• Reduced support backlog or resolution time<br data-start="5216" data-end="5219">• Built internal tools used by Operations teams</p>
<p><strong>Inclusion and Diversity:</strong> Togetherwork is an Equal Employment Opportunity Employer. We are a company where diverse backgrounds, experiences and viewpoints are valued. Togetherwork does not make hiring or employment decisions on the basis of race, color, religion, gender, gender identity, sex, sexual orientation, disability, veteran status, age, ethnic or national origin, or any other basis protected by all local, state or federal laws.</p>
<p>Togetherwork provides integrated software and financial solutions to a wide range of communities and organizations including associations, camps, unions, fraternities & sororities, gyms, dance studios, religious congregations, pet services, and more.</p>
<p>Our mission-critical tools help our customers manage and grow their communities, and enhance the depth and breadth of their member engagement. Our team is united in its desire to help our clients better serve and empower their communities.</p>
<p><strong>Interview Process & Expectations</strong><br>Our interviews are designed to be interactive and conversational. Candidates are expected to respond based on their own experience and thinking during live interviews.</p>
<p>To ensure a fair and consistent interview experience, the use of real-time AI tools or other external assistance to generate or guide interview responses is not permitted. Interviews are intended to reflect an individual’s judgment, problem-solving approach, and communication.</p>
<p> </p>
<p> </p>
<p> </p><div class="content-conclusion"><p>CCPA Disclosure Notice: <a href="https://www.togetherwork.com/privacy-policy/">Click Here</a></p></div>
<p><strong>AI Engineering Intern</strong></p>
<p><em><strong>Please note, this is a full-time internship running though Summer 2026 (June-August)</strong></em></p>
<p><strong>Location: </strong>Austin, TX (In-office Tues/Wed/Thurs)</p>
<p><strong>Eligibility:</strong> Must be currently enrolled at The University of Texas at Austin</p>
<p><strong>Duration:</strong> Summer 2026</p>
<p><strong>Schedule:</strong> Full-time, 40 hrs/week</p>
<p><strong>About Togetherwork </strong>Togetherwork is building the operating platform for member-based organizations across associations, nonprofits, camps, wellness, and faith-based institutions. As we scale through acquisition, we are redesigning how operations work — using AI and automation as core infrastructure. Our approach is simple: AI handles high-volume, repeatable work so our teams can focus on complex, high-value problems.</p>
<p> </p>
<p data-start="72" data-end="276"><strong data-start="72" data-end="89">Role Overview</strong><br data-start="89" data-end="92">We are hiring 3 high-caliber interns from UT Austin to help build and deploy AI and automation across our operations.<br data-start="209" data-end="212">This is a hands-on builder role — not research, not shadowing.</p>
<p data-start="278" data-end="520">You will work directly on:<br data-start="304" data-end="307">• AI-powered customer support systems<br data-start="344" data-end="347">• Automation of complex software implementations<br data-start="395" data-end="398">• Internal tooling across PSA, PMO, and managed services<br data-start="454" data-end="457">• LLM integrations (Claude + enterprise systems like Zendesk)</p>
<p data-start="522" data-end="586">Your work will ship into production and impact real customers.</p>
<hr data-start="588" data-end="591">
<p data-start="593" data-end="1734"><strong data-start="593" data-end="611">What You'll Do</strong><br data-start="611" data-end="614">• Leverage Togetherwork's existing enterprise AI platforms — Claude Enterprise and ChatGPT Enterprise — to design and deploy practical solutions for operational use cases<br data-start="784" data-end="787">• Assist with prompt engineering, custom GPT or Claude project configuration, and AI tool optimization tailored to Operations team needs<br data-start="923" data-end="926">• Partner with Operations team members to audit and map current workflows, identifying high-impact opportunities for automation and AI assistance<br data-start="1071" data-end="1074">• Build and test automated workflows that eliminate repetitive manual tasks across operational functions including onboarding, reporting, data entry, vendor management, and internal communications<br data-start="1270" data-end="1273">• Support the evaluation of additional AI tools and platforms that could complement or extend the current enterprise stack<br data-start="1395" data-end="1398">• Help create and maintain documentation for all automation builds, including workflow logic, tool configurations, and process change notes<br data-start="1537" data-end="1540">• Present findings and project updates to Operations stakeholders in clear, accessible language<br data-start="1635" data-end="1638">• Participate in team standups, project planning sessions, and cross-functional working groups</p>
<hr data-start="1736" data-end="1739">
<p data-start="1741" data-end="1764"><strong data-start="1741" data-end="1764">What You’ll Work On</strong></p>
<p data-start="1766" data-end="2045"><strong><em data-start="1766" data-end="1797">Customer Support (AI Systems)</em></strong><br data-start="1797" data-end="1800">• Connect Claude to Zendesk to auto-answer tickets and reduce backlog<br data-start="1869" data-end="1872">• Build AI ticket triage & routing, auto-response systems, and sentiment detection workflows<br data-start="1964" data-end="1967">• Develop AI-powered help centers that dynamically surface the right content</p>
<p data-start="2047" data-end="2358"><strong><em data-start="2047" data-end="2098">Professional Services (Implementation Automation)</em></strong><br data-start="2098" data-end="2101">• Analyze onboarding workflows (especially complex products like Associations)<br data-start="2179" data-end="2182">• Build AI-driven implementation workflows<br data-start="2224" data-end="2227">• Automate data migrations, configurations, and documentation generation<br data-start="2299" data-end="2302">• Integrate AI into PSA / PMO tools (e.g., Monday.com)</p>
<p data-start="2360" data-end="2592"><strong><em data-start="2360" data-end="2406">Managed Services (Automation & Intelligence)</em></strong><br data-start="2406" data-end="2409">• Reduce repeated payroll processing work<br data-start="2450" data-end="2453">• Build automation for billing, tax, donations, and workflows<br data-start="2514" data-end="2517">• Build integration between Claude & Monday.com for billing and workflows</p>
<p data-start="2594" data-end="2760"><strong><em data-start="2594" data-end="2629">Knowledge & Documentation Systems</em></strong><br data-start="2629" data-end="2632">• Build AI-powered help centers from documentation and tickets<br data-start="2694" data-end="2697">• Auto-generate help articles and identify documentation gaps</p>
<hr data-start="2762" data-end="2765">
<p data-start="2767" data-end="3546"><strong data-start="2767" data-end="2795">What You’ll Learn & Gain</strong><br data-start="2795" data-end="2798">• Direct, hands-on experience solving real operational challenges inside a high-growth, PE-backed SaaS organization<br data-start="2913" data-end="2916">• Daily use of and training on enterprise-grade AI platforms including Claude Enterprise and ChatGPT Enterprise<br data-start="3027" data-end="3030">• Broad exposure to how AI and automation are being deployed across a 25+ brand software portfolio<br data-start="3128" data-end="3131">• A tangible, results-driven portfolio project you can speak to confidently in future interviews<br data-start="3227" data-end="3230">• Deploying LLMs in production environments<br data-start="3273" data-end="3276">• Integrating AI into enterprise systems (Zendesk, CRM, PM tools)<br data-start="3341" data-end="3344">• Designing automation across a large-scale operations division<br data-start="3407" data-end="3410">• Driving measurable customer outcomes (efficiency, CSAT, cost reduction)<br data-start="3483" data-end="3486">• An opportunity for full-time employment after the summer</p>
<hr data-start="3548" data-end="3551">
<p data-start="3553" data-end="3571"><strong data-start="3553" data-end="3571">Qualifications</strong></p>
<p data-start="3573" data-end="4106"><strong><em data-start="3573" data-end="3583">Required</em></strong><br data-start="3583" data-end="3586">• Currently enrolled at UT Austin as a junior/senior or graduate student in Computer Science (CS), Software Engineering, Data Science/Data Analytics, AI, or relevant field<br data-start="3757" data-end="3760">• Hands-on experience with Claude (Anthropic) including enterprise features such as custom instructions, projects, skills, and knowledge management<br data-start="3907" data-end="3910">• Understanding of prompt engineering best practices and how to apply LLMs to business process improvement<br data-start="4016" data-end="4019">• Familiarity with Python for basic scripting, API integrations, or data manipulation</p>
<p data-start="4108" data-end="4565"><strong><em data-start="4108" data-end="4119">Preferred</em></strong><br data-start="4119" data-end="4122">• Student in the Machine Learning and Artificial Intelligence Concentration program of study<br data-start="4214" data-end="4217">• Familiarity with Zendesk or PM tools<br data-start="4255" data-end="4258">• Experience using the Anthropic Claude API or OpenAI API for custom integrations or workflow automation<br data-start="4362" data-end="4365">• Exposure to workflow automation platforms such as Zapier, Make, or Power Automate<br data-start="4448" data-end="4451">• Familiarity with REST APIs, webhooks, or data pipeline concepts<br data-start="4516" data-end="4519">• Experience with no-code/low-code platforms</p>
<hr data-start="4567" data-end="4570">
<p data-start="4572" data-end="5066"><strong data-start="4572" data-end="4606">What Makes This Role Different</strong><br data-start="4606" data-end="4609">• You will build real systems used by real teams<br data-start="4657" data-end="4660">• Your work will directly impact support backlog and efficiency<br data-start="4723" data-end="4726">• You’ll work across multiple functions<br data-start="4765" data-end="4768">• You’ll help build the AI layer of a multi-product SaaS company<br data-start="4832" data-end="4835">• Day-to-day mentorship from members of the Togetherwork executive team, including the Senior VP of Operations and VP of CX Strategy<br data-start="4967" data-end="4970">• Access to the Chief Technology Officer who will meet with you monthly during your internship</p>
<hr data-start="5068" data-end="5071">
<p data-start="5073" data-end="5268"><strong data-start="5073" data-end="5095">Success Looks Like</strong><br data-start="5095" data-end="5098">• Deployed AI workflows into Zendesk<br data-start="5134" data-end="5137">• Automated onboarding processes<br data-start="5169" data-end="5172">• Reduced support backlog or resolution time<br data-start="5216" data-end="5219">• Built internal tools used by Operations teams</p>
<p><strong>Inclusion and Diversity:</strong> Togetherwork is an Equal Employment Opportunity Employer. We are a company where diverse backgrounds, experiences and viewpoints are valued. Togetherwork does not make hiring or employment decisions on the basis of race, color, religion, gender, gender identity, sex, sexual orientation, disability, veteran status, age, ethnic or national origin, or any other basis protected by all local, state or federal laws.</p>
<p>Togetherwork provides integrated software and financial solutions to a wide range of communities and organizations including associations, camps, unions, fraternities & sororities, gyms, dance studios, religious congregations, pet services, and more.</p>
<p>Our mission-critical tools help our customers manage and grow their communities, and enhance the depth and breadth of their member engagement. Our team is united in its desire to help our clients better serve and empower their communities.</p>
<p><strong>Interview Process & Expectations</strong><br>Our interviews are designed to be interactive and conversational. Candidates are expected to respond based on their own experience and thinking during live interviews.</p>
<p>To ensure a fair and consistent interview experience, the use of real-time AI tools or other external assistance to generate or guide interview responses is not permitted. Interviews are intended to reflect an individual’s judgment, problem-solving approach, and communication.</p>
<p> </p>
<p> </p>
<p> </p><div class="content-conclusion"><p>CCPA Disclosure Notice: <a href="https://www.togetherwork.com/privacy-policy/">Click Here</a></p></div>
See all J-1 Visa AI Intern Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new J-1 Visa AI Intern Jobs.
Get Access To All JobsTips for Finding J-1 Visa Sponsorship as an AI Intern
Align your training plan with AI coursework
Your DS-2019 requires a formal training plan linking the internship to your current degree program. Document specific AI coursework, lab projects, or thesis work that directly connects to the machine learning or data tasks in the host role.
Confirm the host employer qualifies first
Not every company can host a J-1 intern. Before applying, verify the employer has a U.S. physical worksite, carries adequate liability insurance, and is willing to co-sign a training plan with your designated sponsor organization.
Search for roles on Migrate Mate by sponsorship type
Use Migrate Mate to filter AI Intern openings by employers with demonstrated J-1 hosting history. This narrows your search to companies already familiar with DS-2019 requirements, reducing the risk of an offer that falls through at the sponsorship stage.
Disclose your J-1 category during initial outreach
Mention the Intern category, not just the J-1 visa, when contacting recruiters. AI teams at research labs and tech companies sometimes confuse Intern and Trainee categories, which have different eligibility rules and maximum program durations.
Request your DS-2019 at least four weeks early
Your designated sponsor organization issues the DS-2019 only after reviewing and approving your training plan. Processing with organizations like CIEE or Cultural Vistas typically takes two to three weeks, so factor that into your start-date negotiation with the host employer.
Check whether your role triggers the two-year rule
J-1 interns funded by a foreign government or whose home country lists the occupation as a skills shortage may face a two-year home residency requirement after the program ends. Confirm your specific situation with your designated sponsor before accepting an AI internship offer.
AI Intern J-1 Visa: Frequently Asked Questions
Which J-1 program category covers AI Intern positions?
The J-1 Intern category is the correct fit for AI Intern roles. It is designed for degree-seeking students or individuals who graduated within the past 12 months and want practical training directly related to their field of study. The Trainee category applies to early-career professionals with at least one year of post-degree work experience, so your eligibility depends on where you are in your academic or professional timeline.
Who actually sponsors my J-1 visa for an AI internship?
The visa sponsor is a U.S. Department of State-designated organization, not the employer. Organizations like CIEE, Cultural Vistas, or IIE issue your DS-2019 and monitor your program compliance. The tech company or research lab where you work is called the host employer. You need both a willing host and an approved designated sponsor before you can apply for your J-1 visa at a U.S. consulate.
How do I find host employers open to J-1 AI interns?
Migrate Mate lets you search AI Intern roles filtered by employers with J-1 sponsorship alignment, which saves significant time compared to cold outreach. Many AI research labs, technology companies, and university-affiliated institutes regularly host J-1 interns, but you need to confirm their willingness to co-sign a training plan and meet your designated sponsor's host employer requirements before the offer becomes viable.
Can I work on AI projects at a startup as a J-1 intern?
Yes, but startups face more scrutiny from designated sponsors during host employer vetting. Your sponsor organization will assess whether the startup has a verifiable U.S. address, sufficient insurance coverage, and the organizational capacity to provide structured training. Early-stage companies without dedicated HR teams may struggle to complete the required training plan documentation on the timeline your sponsor requires.
Does the two-year home residency requirement apply to AI interns?
It applies in specific circumstances, not automatically. If your home country government funds your exchange program, or if your home country includes your occupation on its Skills List, USCIS may require you to return home for two years before changing to most other visa statuses. AI and machine learning roles appear on several countries' skills shortage lists, so confirm your eligibility with your designated sponsor before the program begins.