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Ai In Education Jobs in Texas (NOW HIRING)

Production Engineer

Austin, TX · On-site +1

$190K - $210K/yr

AI : One of the fastest growing tech companies in North America, Placer.ai ("Placer") reached $100 ... education and licenses (if applicable), work location and compensation market data. Base pay is ...

Production Engineer

Austin, TX · On-site

$190K - $210K/yr

AI : One of the fastest growing tech companies in North America, Placer.ai ("Placer") reached $100 ... education and licenses (if applicable), work location and compensation market data. Base pay is ...

... educating others about the benefits of generative AI. This person will report to the Senior ... Leverage AI in the building of utility products for consumers. * Build, evaluate, pilot and ...

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Ai In Education information

What is AI in education?

AI in education refers to the use of artificial intelligence technologies to enhance teaching, learning, and administrative processes in educational settings. This includes personalized learning platforms, intelligent tutoring systems, automated grading, and data-driven insights to support student progress. AI can help educators identify students' strengths and weaknesses, provide tailored resources, and improve overall learning outcomes. It also streamlines administrative tasks, allowing teachers to focus more on instruction and student engagement.

How does an AI in Education specialist typically collaborate with teachers and curriculum designers?

AI in Education specialists often work closely with teachers and curriculum designers to understand classroom needs and learning goals. They provide insights on integrating AI tools that personalize learning experiences, automate administrative tasks, and analyze student performance data. Frequent communication and collaborative workshops help ensure that AI solutions are practical, user-friendly, and aligned with educational standards. This teamwork not only enhances the learning process but also supports educators in adopting new technologies with confidence.

What are the key skills and qualifications needed to thrive as an AI in Education specialist, and why are they important?

To thrive as an AI in Education Specialist, you need expertise in educational theory, instructional design, and a strong foundation in artificial intelligence or machine learning, often supported by a degree in education, computer science, or a related field. Familiarity with learning management systems (LMS), AI-powered educational tools, and programming languages such as Python is typically required. Strong communication, problem-solving, and adaptability are vital soft skills for collaborating with educators and designing impactful learning solutions. These skills ensure the effective integration of AI technologies in educational environments, enhancing student learning outcomes and supporting innovative teaching practices.

What is the difference between Ai In Education vs Educational Data Analyst?

AspectAi In EducationEducational Data Analyst
Required CredentialsDegree in Education, Computer Science, or related fields; knowledge of AI toolsDegree in Education, Statistics, Data Science, or related fields; proficiency in data analysis
Work EnvironmentEducational institutions, EdTech companies, online platformsSchools, districts, research organizations, EdTech firms
Industry UsageDeveloping AI tools for personalized learning, adaptive assessmentsAnalyzing educational data to improve learning outcomes and policies
Common Search/ComparisonYesYes

While both roles involve working within the education sector, Ai In Education focuses on developing and implementing AI technologies to enhance learning experiences. Educational Data Analysts primarily analyze educational data to inform decisions and improve educational strategies. Both roles require a background in education and data or AI skills, but their core functions differ in application and focus.

What are the most commonly searched types of Ai In Education jobs in Texas?

The most popular types of Ai In Education jobs in Texas are:

What job categories do people searching Ai In Education jobs in Texas look for?

The top searched job categories for Ai In Education jobs in Texas are:

What cities in Texas are hiring for Ai In Education jobs?

Cities in Texas with the most Ai In Education job openings:

Infographic showing various Ai In Education job openings in Texas as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution.

Fellow for AI in Legal Practice

The University of Texas at Austin

Austin, TX • On-site

Full-time

Re-posted 28 days ago


University Of Texas at Austin rating

8.3

Company rating: 8.3 out of 10

Based on 64 frontline employees who took The Breakroom Quiz

129th of 622 rated colleges and universities


Job description

Description
The AI Innovation & Law Program at Texas Law invites applications to become our Fellow for AI in Legal Practice, working directly with the the head of the Program (Kevin Frazier) and the Dean (Bobby Chesney) in order to lead the Program's work relating to the adoption of AI tools in legal practice and the implications of that adoption for legal education.
The Fellow for AI in Legal Practice will have primary responsibility for monitoring the jagged frontier of AI tool adoptions across various lanes of legal practice, and for advising the dean on how best to translate those insights into sensible innovations (curricular and extracurricular) for our educational program and for the upskilling of faculty and staff. The Fellow will have teaching responsibilities focused on these matters, and will be expected to play an important role in the larger life of the AI Innovation and Law Program. Among other things, this will include orchestration of an AI Legal Practice Lab in which the Fellow and students will test and report on the capabilities of various practice-related AI tools. Creativity and entrepreneurship in this role is strongly encouraged. The Fellow also will play a leading role for the program with respect to engagement with the legal tech community.
Qualifications
The successful candidate will have a J.D. and demonstrable expertise with respect to AI in general, the legal tech industry, and the ongoing evolution of AI adoption in various lanes of legal practice. The candidate ideally will have teaching experience (with the ability to provide student evaluations for such courses); strong public speaking/communication skills; experience with curriculum development; comfort working collaboratively with the dean, the program lead, and all the members of our community (faculty, students, and staff) no matter their preexisting level of comfort with technology.
Application Instructions
Please include the following with your application
  • Cover letter (4 pages maximum)
    1. (1) describe your background in relation to this topic
    2. (2) explain in detail why you are interested in this job in particular
    3. (3) share your current understanding of AI adoption in legal practice and its implications for legal education (in the short and long terms)
    4. (4) share your thoughts on what courses, trainings, and other activities you might wish to implement if you have this role.
  • Complete CV
  • Law School Transcript

Applications will be considered on a rolling basiswith the intention is of starting the fellowship in time for the 2026-27 Academic Year.

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