E-3 Visa AI Specialist Jobs
AI Specialist roles in machine learning, NLP, and computer vision qualify as E-3 visa specialty occupations, making U.S. employer sponsorship straightforward for Australian nationals with a relevant degree. The E-3 has no lottery and no annual cap, so you can target roles and start the process year-round without waiting for a selection cycle.
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Job Posting Title:
AI & STEM Innovation Specialist
Hiring Department:
Charles A Dana Center
Position Open To:
All Applicants
Weekly Scheduled Hours:
40
FLSA Status:
Exempt from FLSA
Earliest Start Date:
Oct 13, 2026
Position Duration:
Expected to Continue
Location:
PICKLE RESEARCH CAMPUS
Job Details:
General Notes
- Remote work possible
- Travel will be required
Purpose
The AI & STEM Innovation Specialist advances this work with a particular focus on postsecondary and workforce alignment and collaboration with external partners. The Specialist leads the development and implementation of research-grounded learning experiences, instructional materials, frameworks, resources, and professional learning in artificial intelligence, data science, computational thinking, mathematical modeling, and place-based, transdisciplinary, and phenomenon-based teaching and learning.
Responsibilities
High-Quality Instructional Resources and Professional Learning Development
- Design and develop high-quality, research-grounded instructional materials, resources, frameworks, implementation supports, and professional learning experiences that integrate artificial intelligence, data science, computational thinking, mathematical modeling, and transdisciplinary STEM that builds the capacity of educators, leaders, partner organizations, and systems to implement innovative instructional approaches and support continuous improvement.
- Develop phenomenon-based and place-based learning experiences that strengthen conceptual and contextual learning and help learners connect mathematics, science, literacy, data, and emerging technologies to authentic questions, challenges, and future opportunities.
- Develop guidance, tools, and resources that support the responsible and effective integration of artificial intelligence and emerging technologies into teaching, learning, instructional materials, and professional practice.
Project Support and Implementation
- Support the successful implementation of AI and STEM innovation initiatives, including project planning, timelines, deliverables, materials development, communication, coordination, and targeted technical assistance to ensure high-quality work products and outcomes.
- Collaborate with internal teams and external partners to ensure projects are implemented with quality, coherence, and fidelity to project goals while remaining responsive to emerging needs and opportunities.
- Support the development and refinement of project strategies, implementation approaches, and tools that strengthen the Center's capacity to scale innovative mathematics and STEM initiatives across education systems.
- Contribute to data collection, analysis, reporting, and continuous improvement processes that monitor implementation, assess progress, and inform future project development and scaling.
Innovative Initiative Development
- Contribute to business development, grant proposals, and strategic partnerships that expand the Center's AI and STEM innovation portfolio across PK–12, postsecondary, and workforce systems.
- Develop or contribute to scopes of work, project plans, timelines, budgets, and evidence-of-impact narratives that support new initiatives and funding opportunities.
- Identify emerging opportunities, trends, and potential partnerships that align with the Center's strategic priorities in artificial intelligence, STEM, data science, and transdisciplinary learning.
- Contribute postsecondary content and expertise to marketing, communications, presentations, and informational materials that elevate the Center's AI and STEM innovation work.
PK–12, Postsecondary, and Workforce Alignment
- Contribute expertise related to postsecondary systems, structures, pathways, and reform trends to inform the design and implementation of innovative mathematics, STEM, and AI initiatives.
- Develop resources, frameworks, and strategies that strengthen coherence and alignment across PK–12, postsecondary education, and workforce systems and support the development of future-ready learning pathways involving AI and STEM.
- Collaborate with postsecondary institutions, workforce partners, industry representatives, and other stakeholders to ensure learning experiences and initiatives are relevant to evolving educational, workforce, and community needs.
- Help identify and advance project opportunities to connect PK–12 learning with postsecondary success, workforce preparation, and family-sustaining careers.
Field Influence and Strategic Collaboration
- Cultivate and maintain strong relationships with internal and external partners to advance shared priorities and extend the reach and impact of the Center's AI and STEM innovation work.
- Coordinate ongoing collaboration with key partners, including shared planning, resource development, implementation, and quality assurance processes that ensure coherence across instructional materials, professional learning, and implementation supports.
- Collaborate closely with colleagues across the AI & STEM Innovation team, the Building Capacity for Innovation team and other Dana Center teams to leverage expertise, strengthen cross-team connections, and produce high-quality, timely work.
- Represent the Center as a thought partner and contributor to the field through presentations, publications, convenings, professional networks, and other opportunities that advance the adoption, implementation, and scaling of innovative AI and STEM approaches.
- Contribute to organizational culture, strategic planning, and cross-team initiatives that align emerging innovation opportunities with the Center's mission, priorities, and long-term impact.
Required Qualifications
- Bachelor's degree in mathematics, mathematics education, data science, data science education, science, science education, computer science, STEM education, or a related field, or equivalent combination of higher education and experience.
- At least 5 years of relevant professional postsecondary experience in STEM education, mathematics, science, computer science, data science, curriculum and resource development, professional learning, educational innovation, or a related field, with demonstrated experience advancing initiatives across education systems.
- Experience working with external partners such as state agencies, postsecondary institutions, education systems, districts, workforce or industry organizations, education organizations, or other stakeholders.
- Experience integrating artificial intelligence, data science, computational thinking, or other emerging technologies into instructional materials, professional learning, or educational initiatives.
- Excellent written, verbal, and interpersonal communication skills, with the ability to represent the Center effectively in field-facing settings.
- Demonstrated ability to facilitate professional learning, convenings, or collaborative processes for a wide variety of audiences.
- Strong organizational and project management skills, including the ability to manage multiple priorities, work collaboratively across a variety teams and contexts, and consistently meet deadlines.
Preferred Qualifications
- Master's degree or higher in a STEM field, STEM education, mathematics education, higher education leadership, data science, computer science, or a related field.
- Experience with postsecondary mathematics pathways, STEM education reform, or place-based, phenomenon-based, and transdisciplinary teaching and learning.
- Experience leading or managing complex, multi-stakeholder projects or initiatives, including the ability to develop and manage timelines, deliverables, communications, and implementation activities in a fast-paced environment.
- Demonstrated experience designing and implementing high-quality instructional resources, learning experiences, frameworks, or professional learning grounded in research and effective teaching and learning practices.
- Strong understanding of pedagogy and adult learning (andragogy) and the application of these principles to professional learning and instructional design.
- Experience facilitating professional networks, communities of practice, convenings, or cross-sector collaborations.
- Demonstrated expertise in AI, emerging technologies, data science, computational thinking, or related areas, including the ability to thoughtfully integrate emerging technologies into learning experiences to strengthen critical thinking, reasoning, creative problem solving, learner engagement, and learner-centered instructional design.
- Understanding of the connections among PK–12, postsecondary, and workforce systems, with the ability to apply this understanding to the design of relevant and future-focused learning pathways.
- Demonstrated ability to use research, data, and evaluation evidence to inform design, implementation, and continuous improvement.
- Experience advancing policies, practices, or systems-level strategies that promote innovation and alignment across PK–12, postsecondary, and workforce systems.
- Experience collaborating with workforce, industry, or community partners to connect education and learning to career readiness and emerging workforce needs.
- Familiarity with national systems change initiatives in STEM and workforce and emerging trends related to AI, data, and the future of work.
Salary Range
- $90,000 - $105,000
Working Conditions
- May work around standard office conditions
- Repetitive use of a keyboard at a workstation
- Use of manual dexterity
- Travel will be required
Required Materials
Please mark "yes" on the application for required materials. Failure to attach all additional materials listed may affect candidates being considered for the position.
- Resume/CV
- 3 work references with their contact information; at least one reference should be from a supervisor
- Letter of interest
Important for applicants who are NOT current university employees or contingent workers: You will be prompted to submit your resume the first time you apply, then you will be provided an option to upload a new Resume for subsequent applications. Any additional Required Materials (letter of interest, references, etc.) will be uploaded in the Application Questions section; you will be able to multi-select additional files. Before submitting your online job application, ensure that ALL Required Materials have been uploaded. Once your job application has been submitted, you cannot make changes.
Important for Current university employees and contingent workers: As a current university employee or contingent worker, you MUST apply within Workday by searching for Find UT Jobs. If you are a current University employee, log-in to Workday, navigate to your Worker Profile, click the Career link in the left hand navigation menu and then update the sections in your Professional Profile before you apply. This information will be pulled in to your application. The application is one page and you will be prompted to upload your resume. In addition, you must respond to the application questions presented to upload any additional Required Materials (letter of interest, references, etc.) that were noted above.
Employment Eligibility:
Regular staff who have been employed in their current position for the last six continuous months are eligible for openings being recruited for through University-Wide or Open Recruiting, to include both promotional opportunities and lateral transfers. Staff who are promotion/transfer eligible may apply for positions without supervisor approval.
Retirement Plan Eligibility:
The retirement plan for this position is Teacher Retirement System of Texas (TRS), subject to the position being at least 20 hours per week and at least 135 days in length.
Background Checks:
A criminal history background check will be required for finalist(s) under consideration for this position.
Equal Opportunity Employer:
The University of Texas at Austin, as an equal opportunity/affirmative action employer, complies with all applicable federal and state laws regarding nondiscrimination and affirmative action. The University is committed to a policy of equal opportunity for all persons and does not discriminate on the basis of race, color, national origin, age, marital status, sex, sexual orientation, gender identity, gender expression, disability, religion, or veteran status in employment, educational programs and activities, and admissions.
Pay Transparency:
The University of Texas at Austin will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor’s legal duty to furnish information.
Employment Eligibility Verification:
If hired, you will be required to complete the federal Employment Eligibility Verification I-9 form. You will be required to present acceptable and original documents to prove your identity and authorization to work in the United States. Documents need to be presented no later than the third day of employment. Failure to do so will result in loss of employment at the university.
E-Verify:
The University of Texas at Austin use E-Verify to check the work authorization of all new hires effective May 2015. The university’s company ID number for purposes of E-Verify is 854197. For more information about E-Verify, please see the following:
- E-Verify Poster (English and Spanish) [PDF]
- Right to Work Poster (English) [PDF]
- Right to Work Poster (Spanish) [PDF]
Compliance:
Employees may be required to report violations of law under Title IX and the Jeanne Clery Disclosure of Campus Security Policy and Crime Statistics Act (Clery Act). If this position is identified a Campus Security Authority (Clery Act), you will be notified and provided resources for reporting. Responsible employees under Title IX are defined and outlined in HOP-3031.
The Clery Act requires all prospective employees be notified of the availability of the Annual Security and Fire Safety report. You may access the most recent report here or obtain a copy at University Compliance Services, 1616 Guadalupe Street, UTA 2.206, Austin, Texas 78701.
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Get Access To All JobsTips for Finding E-3 Visa Sponsorship as an AI Specialist
Align your credentials to specialty occupation standards
USCIS requires your degree field to match the AI Specialist role directly. A computer science or data science degree maps cleanly, but an adjacent degree like mathematics or electrical engineering needs a clear connection to the specific job duties in your offer letter.
Target employers with active LCA filing history
Search the DOL's public LCA disclosure data to identify companies that have already certified AI and machine learning roles. Employers with existing LCAs for similar job titles understand the E-3 process and are far less likely to withdraw an offer over sponsorship concerns.
Frame your E-3 status early in outreach
Many U.S. hiring managers assume Australian candidates need H-1B visa sponsorship and a lottery slot. Clarify upfront that the E-3 requires no lottery, no annual cap wait, and can be processed before your start date without disrupting their hiring timeline.
Use Migrate Mate's E-3 filing service for post-offer paperwork
Once you have a written offer, your employer needs to file a certified LCA with the DOL before you can apply at the consulate. Use Migrate Mate's E-3 filing service to handle your LCA and visa paperwork so nothing delays your start date.
Secure a support letter detailing AI specialty duties
Ask your employer to write a detailed support letter explaining why the AI Specialist role requires a specialized degree, not just any bachelor's. Vague job descriptions are a common reason consular officers ask follow-up questions at Australian posts.
Book your consulate appointment as soon as the LCA is certified
DOL certifies most LCAs within seven business days. Schedule your visa interview at Sydney, Melbourne, or Perth immediately after certification. Appointment availability varies by post, and delays between certification and scheduling can push back your U.S. start date by weeks.
E-3 Visa AI Specialist: Frequently Asked Questions
How do I find AI Specialist jobs that offer E-3 visa sponsorship?
Search Migrate Mate to filter AI Specialist roles by E-3 sponsorship specifically. Most general job boards don't distinguish between visa types, so you end up filtering manually through roles that only consider H-1B candidates. Migrate Mate surfaces employers who have filed for E-3 or equivalent specialty occupation positions, saving you from outreach that goes nowhere.
How much does it cost to get an E-3 visa?
Migrate Mate's E-3 filing service covers the entire process for $499, including the Labor Condition Application, visa document preparation, and consulate appointment guidance. Traditional immigration lawyers charge $2,000–$5,000+ for the same work. The E-3 has less paperwork than most work visas, so paying thousands for legal help is usually unnecessary.
Does an AI Specialist role qualify as a specialty occupation for the E-3?
Yes, in most cases. USCIS defines a specialty occupation as one that normally requires a bachelor's degree or higher in a specific field. AI Specialist roles involving machine learning model development, NLP engineering, or computer vision research consistently meet this standard. Roles with vague titles like 'AI generalist' or duties that don't require a specific degree field can be harder to support, so your offer letter's duty description matters.
How does the E-3 compare to H-1B for AI Specialist roles in the U.S.?
The E-3 is available only to Australian nationals, but for those who qualify it has significant practical advantages over the H-1B. There's no annual lottery, no cap, and no waiting for a fiscal year registration window. You can apply for an E-3 any time of year as long as you have a qualifying offer and a certified LCA. H-1B registrations are capped at 85,000 per year and require lottery selection before any petition can even be filed.
Can I change AI Specialist employers on an E-3 visa?
Yes, but each employer change requires a new LCA and a new visa application. Your E-3 is employer-specific, so you can't transfer it to a new company the way some other visa categories allow. If you're already inside the U.S., you can start working for the new employer once the new E-3 is approved at the consulate or via a change of status petition with USCIS.