J-1 Visa Quality Assurance Analyst Jobs
Quality Assurance Analyst roles in the United States are accessible to exchange visitors through the J-1 visa Trainee or Intern program category, depending on your career stage. Securing sponsorship requires a designated sponsor organization to issue your DS-2019 and approve a structured training plan tied to your QA work.
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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 Quality Assurance Analyst Jobs
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Get Access To All JobsTips for Finding J-1 Visa Sponsorship as a Quality Assurance Analyst
Align your credentials to QA specialty occupation standards
Document your coursework or degree in computer science, engineering, or a related technical field. QA Analyst roles require demonstrable methodology training, so compile testing certifications like ISTQB alongside transcripts before approaching any host employer.
Distinguish Intern from Trainee category eligibility
If you're currently enrolled in a degree program, the J-1 Intern category applies. If you've graduated within the past 12 months or have relevant post-degree work experience, the Trainee category fits and supports a longer placement of up to 18 months.
Search Migrate Mate to find QA roles at J-1-ready employers
Many QA Analyst openings never specify visa compatibility in the listing. Use Migrate Mate to filter for U.S. employers whose hiring history aligns with exchange visitor placements, saving significant time in your outreach.
Request a written training plan before accepting any offer
Your designated sponsor organization, such as Cultural Vistas or AIPT, must approve a Training or Internship Placement Plan (DS-7002) before issuing your DS-2019. Confirm the host employer will complete this document and that the QA duties described match your actual day-to-day responsibilities.
Verify your host employer meets wage compliance requirements
J-1 Trainees and Interns must receive compensation comparable to similarly situated U.S. workers in the same role and location. Cross-reference the OFLC Wage Search for QA Analyst prevailing wages in your target city before negotiating your offer.
Check whether your home country triggers the two-year rule
Some J-1 participants are subject to a two-year home-country physical presence requirement under INA Section 212(e), often flagged on the DS-2019 itself. If your government funded your exchange or your field appears on the Skills List, confirm this status with your designated sponsor before accepting a placement.
Quality Assurance Analyst J-1 Visa: Frequently Asked Questions
Which J-1 program category fits a Quality Assurance Analyst role?
It depends on your career stage. Current students or recent graduates within 12 months of degree completion typically fall under the J-1 Intern category. Early-career professionals with post-graduation work experience in QA or a related technical field qualify for the J-1 Trainee category, which allows placements of up to 18 months in software or product quality functions.
Who actually sponsors the J-1 visa for a QA Analyst position?
The visa sponsor is a U.S. Department of State-designated organization, not your host employer. Entities like Cultural Vistas, AIPT, or IIE issue the DS-2019 form, review the training plan, and monitor program compliance throughout your placement. The company where you perform QA work is the host organization, and it contracts with the designated sponsor separately to facilitate your exchange.
How do I find host employers open to J-1 QA Analyst placements?
Most job postings don't advertise J-1 compatibility directly, which makes targeted searching difficult on general job boards. Migrate Mate lets you identify U.S. employers with histories of hiring exchange visitors into technical roles, narrowing your outreach to companies already familiar with the host-employer model and the DS-7002 training plan requirement.
What does the DS-7002 training plan require for QA roles?
The DS-7002 must outline specific QA competencies you'll develop, the supervision structure, and measurable learning objectives tied to each phase of your placement. Generic descriptions like 'assist with testing' are usually rejected. Host employers need to map your work to concrete skills, such as test case design, defect tracking methodology, or automated testing frameworks, with timelines attached to each.
Can I switch host employers mid-program if a better QA role comes up?
Changing host employers requires your designated sponsor to approve the new placement and issue an amended DS-2019 before you begin work. The new host must also complete a revised DS-7002 training plan. Starting work at a new company before sponsor approval is a program violation. Confirm the transfer process and timeline with your sponsor in writing before giving notice at your current host.