AI Researcher Jobs in Texas
AI Researcher jobs in Texas are among the most active in the country, with demand concentrated in machine learning, natural language processing, and computer vision across the technology, defense, energy, and healthcare sectors at every level from research associate through principal scientist. Austin, Dallas, and Houston anchor the market, with employers like Dell Technologies, Lockheed Martin, and MD Anderson Cancer Center maintaining a sustained presence and consistent hiring for these roles. Texas-based AI research teams are especially focused on applied research in energy optimization, autonomous systems, and clinical AI. Find a role that fits below and apply directly.
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The Postdoctoral Fellow will play a key role in the CPRIT-funded Data Science and AI Core for Population Research (DAICOR), contributing to the development and deployment of advanced imaging-based AI tools to improve early cancer detection and population-level cancer research. Responsibilities include designing and implementing machine learning and deep learning models for medical image analysis across diverse cancer screening modalities (e.g., mammography, CT, ultrasound); developing pipelines for image preprocessing, harmonization, and integration with the DAICOR secure digital platform; and conducting rigorous validation studies to assess performance, bias, and generalizability of AI tools. The fellow will collaborate closely with clinicians, data scientists, and population researchers to extract imaging-derived biomarkers, support multimodal data integration, and contribute to scientific manuscripts and grant reports. Additional duties include assisting with training sessions and providing technical support to healthcare providers and researchers across Texas to facilitate the responsible and effective use of AI tools.
The ideal candidate will have a PhD in biomedical engineering, computer science, medical physics, or a related field, with strong experience in medical image analysis, machine learning, and coding in Python. Experience with large-scale imaging datasets and AI deployment in clinical or research environments is preferred.
UT Southwestern Medical Center is committed to an educational and working environment that provides equal opportunity to all members of the University community. As an equal opportunity employer, UT Southwestern prohibits unlawful discrimination, including discrimination on the basis of race, color, religion, national origin, sex, sexual orientation, gender identity, gender expression, age, disability, genetic information, citizenship status, or veteran status.
This position is security-sensitive and subject to Texas Education Code 51.215, which authorizes UT Southwestern to obtain criminal history record information.
Appointment rank will be commensurate with academic accomplishment and experience. Consideration may be given to applicants seeking less than a full-time schedule.
To learn more about the benefits UT Southwestern offers, visit https://www.utsouthwestern.edu/employees/hr-resources/
Benefits
- UT Southwestern is proud to offer a competitive and comprehensive benefits package to eligible employees. Our benefits are designed to support your overall wellbeing, and include:
- PPO medical plan, available day one at no cost for full-time employee-only coverage
- 100% coverage for preventive healthcare – no copay
- Paid Time Off, available day one
- Retirement Programs through the Teacher Retirement System of Texas (TRS)
- Paid Parental Leave Benefit
- Wellness programs
- Tuition Reimbursement
- Public Service Loan Forgiveness (PSLF) Qualified Employer
The Postdoctoral Fellow will play a key role in the CPRIT-funded Data Science and AI Core for Population Research (DAICOR), contributing to the development and deployment of advanced imaging-based AI tools to improve early cancer detection and population-level cancer research. Responsibilities include designing and implementing machine learning and deep learning models for medical image analysis across diverse cancer screening modalities (e.g., mammography, CT, ultrasound); developing pipelines for image preprocessing, harmonization, and integration with the DAICOR secure digital platform; and conducting rigorous validation studies to assess performance, bias, and generalizability of AI tools. The fellow will collaborate closely with clinicians, data scientists, and population researchers to extract imaging-derived biomarkers, support multimodal data integration, and contribute to scientific manuscripts and grant reports. Additional duties include assisting with training sessions and providing technical support to healthcare providers and researchers across Texas to facilitate the responsible and effective use of AI tools.
The ideal candidate will have a PhD in biomedical engineering, computer science, medical physics, or a related field, with strong experience in medical image analysis, machine learning, and coding in Python. Experience with large-scale imaging datasets and AI deployment in clinical or research environments is preferred.
UT Southwestern Medical Center is committed to an educational and working environment that provides equal opportunity to all members of the University community. As an equal opportunity employer, UT Southwestern prohibits unlawful discrimination, including discrimination on the basis of race, color, religion, national origin, sex, sexual orientation, gender identity, gender expression, age, disability, genetic information, citizenship status, or veteran status.
This position is security-sensitive and subject to Texas Education Code 51.215, which authorizes UT Southwestern to obtain criminal history record information.
Appointment rank will be commensurate with academic accomplishment and experience. Consideration may be given to applicants seeking less than a full-time schedule.
To learn more about the benefits UT Southwestern offers, visit https://www.utsouthwestern.edu/employees/hr-resources/
Benefits
- UT Southwestern is proud to offer a competitive and comprehensive benefits package to eligible employees. Our benefits are designed to support your overall wellbeing, and include:
- PPO medical plan, available day one at no cost for full-time employee-only coverage
- 100% coverage for preventive healthcare – no copay
- Paid Time Off, available day one
- Retirement Programs through the Teacher Retirement System of Texas (TRS)
- Paid Parental Leave Benefit
- Wellness programs
- Tuition Reimbursement
- Public Service Loan Forgiveness (PSLF) Qualified Employer
See All 10 AI Researcher Jobs in Texas
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Find AI Researcher JobsAI Researcher Jobs by City in Texas
Where Texas roles are concentrated, by current openings.
AI Researcher Job Market in Texas
A snapshot from current Texas openings, updated as new roles post.
Who's Hiring
Top Industries Hiring
- Education
- Technology & Software
- Medical Devices
What Texas Employers Look For
The qualifications that appear most often in AI researcher jobs across Texas.
- PhD or master's degree in computer science, AI, or a closely related technical field
- Demonstrated research experience with publication record or deployed AI systems
- Proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow
- Experience designing and running large-scale model training and evaluation pipelines
- Ability to collaborate with engineering and product teams on applied research problems
- Familiarity with domain-specific data in energy, defense, healthcare, or enterprise software
AI Researcher Jobs in Texas: Frequently Asked Questions
How do you become a ai researcher in Texas?
Most ai researcher roles in Texas require at least a master's degree, and senior positions typically expect a PhD in computer science, machine learning, statistics, or a related field. Texas has no state-issued license for this role. Hiring managers at Texas universities, national laboratories like Sandia and Argonne's Texas sites, and major tech and energy employers generally look for a strong publication record or a portfolio of shipped AI systems alongside formal credentials.
How much do AI researchers make in Texas?
AI researchers in Texas earn a median of about $121,210 a year, based on May 2025 Bureau of Labor Statistics wage data, ranging from around $65,480 for the lowest 10% to over $204,250 for the top 10%. Pay rises with experience, specialty, and employer.
Which companies hire ai researchers in Texas?
Employers hiring ai researchers in Texas right now include University of Texas at El Paso, JND, and webAI, based on current listings on Migrate Mate as of September 2026. Texas's mix of large defense contractors, energy majors, academic medical centers, and headquartered technology firms means ai researcher demand is spread across distinctly different research areas depending on the employer.
Which Texas cities have the most ai researcher jobs?
El Paso, Dallas, and Texas have the most ai researcher openings in Texas. Austin leads because of its dense technology sector and proximity to the University of Texas, Dallas draws research roles tied to telecom, fintech, and corporate headquarters, and Houston's openings are driven heavily by energy companies and the Texas Medical Center, one of the largest medical research complexes in the world.
Are there remote ai researcher jobs in Texas?
Yes, and more than most fields. AI research is largely computational, making it well suited to remote or hybrid arrangements. About 67% of ai researcher openings tied to Texas are remote or hybrid as of September 2026, reflecting the broader tech industry's flexibility for this type of work. Roles focused on pure modeling and experimentation skew most remote, while positions requiring access to specialized hardware clusters or sensitive defense environments are more likely to require on-site presence.
How can I get hired as a ai researcher in Texas with little or no experience?
The most realistic entry path is through a research assistantship or internship during a graduate program at a Texas institution such as UT Austin, Texas A&M, or Rice University, where direct industry connections to Austin tech firms, Houston energy companies, and Dallas corporate labs are built in. Large Texas employers including Dell Technologies and several defense contractors run internship-to-hire pipelines specifically for early-career researchers. Moving laterally from a machine learning engineer or data scientist role is another recognized route, especially if you can show independent research contributions through open-source projects or conference papers.
Where can I find and apply to ai researcher jobs in Texas?
You can find and apply to ai researcher jobs in Texas on Migrate Mate, which lists current Texas openings across the state's major hiring markets. Find roles that fit your background and apply directly to the employers posting them.
See All 10 AI Researcher Jobs in Texas
Find roles in Texas that match your experience and apply in just a few clicks.
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