AI Data Specialist Jobs in USA with Visa Sponsorship
AI Data Specialists are among the most actively sponsored roles in the U.S. right now. Most positions qualify under H-1B visa specialty occupation rules, and employers across tech, finance, and healthcare regularly file LCAs for this title. For detailed occupation requirements, see the O*NET profile.
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The McCombs School of Business at The University of Texas at Austin invites applications for a faculty position in Artificial Intelligence and Operations Management, beginning in Fall 2027. We seek candidates with a strong commitment to high-quality research and teaching who can contribute to our undergraduate and graduate courses in Artificial Intelligence and Operations Management. We are particularly interested in candidates who use rigorous empirical and data-driven methods to address problems in application domains such as revenue management, supply chains, healthcare, retailing, transportation and logistics, and technology and operations.
A successful candidate will be expected to establish an internationally recognized research program at The University of Texas at Austin, mentor graduate students, and teach at the undergraduate and graduate levels. The predominant mode of instruction and research is in person; accordingly, faculty appointed for employment shall reside in the proximate area of the work site for the duration of their appointment and be able to maintain a daily in-person schedule at the assigned work site.
The McCombs School of Business, with its top-ranked faculty and educational programs, offers a stimulating and collegial environment for innovative research and teaching. The school’s research centers, including centers focused on supply chain management, electronic commerce, entrepreneurship, marketing, and energy management, provide opportunities to collaborate with colleagues across disciplines and interact with a range of industry partners in Austin, throughout Texas, and nationally.
A background check will be conducted on applicants selected for the position prior to appointment.
Qualifications
A Ph.D. (or very near completion) from an accredited institution is required by the start date of the appointment.
Application Instructions
Applicants should submit a letter of interest, curriculum vitae, a job-market paper or other representative research manuscript, and a statement of research objectives and accomplishments. Three confidential letters of recommendation should also be submitted via Interfolio. Candidates with teaching experience should upload teaching evaluations.
At their discretion, applicants with prior faculty experience, such as current assistant or associate professors, may defer submission of recommendation letters during the initial application stage. Such candidates will be asked to provide references if selected as finalists. Additional materials may also be requested after the initial review of applications.
All materials should be submitted through Interfolio using the following link: apply.interfolio.com/194218
The application deadline is December 1, 2026. Applications received by October 15, 2026, will also be considered for interviews at the INFORMS Annual Meeting on November 1, 2026.
Please do not submit applications or updated materials via email.
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.
Description
The McCombs School of Business at The University of Texas at Austin invites applications for a faculty position in Artificial Intelligence and Operations Management, beginning in Fall 2027. We seek candidates with a strong commitment to high-quality research and teaching who can contribute to our undergraduate and graduate courses in Artificial Intelligence and Operations Management. We are particularly interested in candidates who use rigorous empirical and data-driven methods to address problems in application domains such as revenue management, supply chains, healthcare, retailing, transportation and logistics, and technology and operations.
A successful candidate will be expected to establish an internationally recognized research program at The University of Texas at Austin, mentor graduate students, and teach at the undergraduate and graduate levels. The predominant mode of instruction and research is in person; accordingly, faculty appointed for employment shall reside in the proximate area of the work site for the duration of their appointment and be able to maintain a daily in-person schedule at the assigned work site.
The McCombs School of Business, with its top-ranked faculty and educational programs, offers a stimulating and collegial environment for innovative research and teaching. The school’s research centers, including centers focused on supply chain management, electronic commerce, entrepreneurship, marketing, and energy management, provide opportunities to collaborate with colleagues across disciplines and interact with a range of industry partners in Austin, throughout Texas, and nationally.
A background check will be conducted on applicants selected for the position prior to appointment.
Qualifications
A Ph.D. (or very near completion) from an accredited institution is required by the start date of the appointment.
Application Instructions
Applicants should submit a letter of interest, curriculum vitae, a job-market paper or other representative research manuscript, and a statement of research objectives and accomplishments. Three confidential letters of recommendation should also be submitted via Interfolio. Candidates with teaching experience should upload teaching evaluations.
At their discretion, applicants with prior faculty experience, such as current assistant or associate professors, may defer submission of recommendation letters during the initial application stage. Such candidates will be asked to provide references if selected as finalists. Additional materials may also be requested after the initial review of applications.
All materials should be submitted through Interfolio using the following link: apply.interfolio.com/194218
The application deadline is December 1, 2026. Applications received by October 15, 2026, will also be considered for interviews at the INFORMS Annual Meeting on November 1, 2026.
Please do not submit applications or updated materials via email.
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.
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Get Access To All JobsTips for Finding Visa Sponsorship as an AI Data Specialist
Lead with your degree field, not just your degree
Employers filing an H-1B for this role need to show the position requires a specific degree. A background in computer science, statistics, or data science strengthens the specialty occupation argument more than a general STEM degree.
Highlight experience with AI frameworks in your resume
Concrete tools matter for LCA job descriptions. Listing experience with PyTorch, TensorFlow, or large language model pipelines gives employers the specificity they need to write a defensible H-1B job description to submit to USCIS.
Target employers with active LCA filings in AI and data
Not all companies sponsor. Focus on employers with a documented history of filing Labor Condition Applications for data and AI roles. These companies already understand the process and are far less likely to rescind offers over sponsorship complexity.
Understand the difference between OPT and H-1B timing
If you're on F-1 OPT or STEM OPT extension, your employer needs to file your H-1B cap petition by April 1 for an October 1 start. Missing this window means reapplying next year, so raise the timeline early in negotiations.
Use your project portfolio to justify specialty occupation
USCIS scrutinizes AI and data roles more than traditional software engineering positions. A portfolio showing model development, data pipeline architecture, or research contributions helps demonstrate that the role genuinely requires specialized theoretical knowledge.
Frequently Asked Questions
Does an AI Data Specialist role qualify as an H-1B specialty occupation?
Yes, in most cases. USCIS requires the position to normally require at least a bachelor's degree in a specific specialty. AI Data Specialist roles tied to computer science, statistics, or data science typically satisfy this. The risk arises when a job description is written broadly enough that any STEM degree could qualify, which weakens the specialty occupation argument. Employers and attorneys often tighten job descriptions before filing to reduce this exposure.
What degree do I need for an employer to sponsor me as an AI Data Specialist?
A bachelor's degree or higher in computer science, data science, statistics, mathematics, or a closely related field is the standard requirement. The degree must relate directly to the duties of the role. If your degree is in a tangentially related field, a combination of education and progressive work experience can sometimes substitute, but this requires stronger documentation and is harder to defend at USCIS.
How do I find AI Data Specialist jobs that offer visa sponsorship?
The most efficient approach is to use a platform that filters specifically for sponsorship-willing employers. Migrate Mate is built for exactly this, with AI and data roles sourced from companies that actively file H-1B visa petitions. Browsing general job boards and filtering manually is significantly slower and often surfaces roles where sponsorship is listed as possible but never confirmed by the employer.
Are H-1B approvals common for AI and data roles, or is there high denial risk?
Approval rates for AI and data roles are generally strong when the job description is well-constructed and the applicant's degree aligns with the position. Denials most often occur when USCIS issues a Request for Evidence questioning whether the role truly requires a specialized degree, or when the employer's job description is too generic. Companies with experienced immigration counsel file better petitions and have lower RFE rates for these roles.
Can I switch employers after my H-1B is approved for an AI Data Specialist position?
Yes. H-1B portability allows you to transfer your visa to a new employer once your current petition has been approved and you've entered valid H-1B status. The new employer must file an H-1B transfer petition before your start date with them. You can begin working for the new employer as soon as the transfer petition is filed and receipt is confirmed, without waiting for full approval.
What is the prevailing wage requirement for sponsored AI Data Specialist jobs?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.