AI Intern Jobs in Texas
AI Intern jobs in Texas are among the most active in the country, concentrated in artificial intelligence research, machine learning engineering, and data analytics across a technology sector that rivals any coastal market. Austin, Dallas, and Houston anchor the bulk of hiring, with major employers such as Dell Technologies, Texas Instruments, and ExxonMobil running established AI internship programs. The most in-demand specialties are natural language processing, computer vision, and AI-driven data pipelines, with openings at every level from undergraduate research assistants through senior capstone interns. Find a role that fits below and apply directly.
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Showing 5 of 13+ AI Intern jobs
Description
Advantest America, a global leader in Semiconductor Test and Measurement, is seeking a motivated and innovative engineering student to explore cutting-edge applications of machine learning and generative AI. This internship provides hands-on experience working with emerging AI systems and integrating them into Advantest's advanced testing platforms.
Location: Austin, TX or San Jose, CA (headquarters)
Role Overview
In this role, you will contribute to research and prototyping efforts focused on LLM-powered reasoning and evaluation systems. You will explore how retrieval-augmented generation (RAG) and agentic workflows can be used to analyze, compare, and assess complex technical content at scale. The internship emphasizes building AI systems that support decision-making, qualitative judgment, and structured feedback in real-world engineering and research environments.
You will work with unstructured and semi-structured documents, design multi-step reasoning pipelines, and evaluate system behavior against domain-specific expectations and constraints.
Key Responsibilities
- Design and implement multi-step agentic workflows for analyzing and evaluating technical content.
- Develop RAG-based pipelines that combine internal documentation and reference materials with LLM reasoning.
- Build AI agents capable of:
- Comparing proposed ideas or approaches against known solutions or baselines
- Identifying conflicts, gaps, redundancies, or lack of novelty
- Producing structured assessments and constructive feedback
- Experiment with prompting strategies, planning, reflection, and tool usage to improve reasoning quality and consistency.
- Evaluate and iterate on system performance using qualitative and semi-quantitative metrics.
- Collaborate with engineers and researchers to translate ambiguous evaluation criteria into actionable AI workflows.
Requirements
- Currently enrolled in a BS or MS program in Computer Science, Electrical Engineering, or a related field
- Strong programming skills in Python
- Hands-on experience with LLMs, including prompt design and experimentation
- Familiarity with retrieval-augmented generation (RAG) concepts (e.g., embeddings, vector search, context assembly)
- Experience or coursework involving multi-step workflows, pipelines, or agent-based systems
- Strong written and verbal communication skills, especially for explaining technical decisions
- Ability to work independently and communicate technical ideas clearly
Additional Skills Preferred (but not required):
- Experience with agent orchestration frameworks (e.g., LangGraph, LangChain, custom agent loops)
- Exposure to LLM evaluation techniques, including rubric-based scoring, pairwise comparison, or ranking tasks
- Experience working with document-heavy or text-analysis problems (e.g., reviews, reports, proposals, research papers)
- Familiarity with semantic similarity, novelty detection, or content comparison techniques
- Interest in building AI systems that support human judgment and decision-making, not just generation
- Comfort working with imperfect data, evolving requirements, and subjective evaluation criteria
Description
Advantest America, a global leader in Semiconductor Test and Measurement, is seeking a motivated and innovative engineering student to explore cutting-edge applications of machine learning and generative AI. This internship provides hands-on experience working with emerging AI systems and integrating them into Advantest's advanced testing platforms.
Location: Austin, TX or San Jose, CA (headquarters)
Role Overview
In this role, you will contribute to research and prototyping efforts focused on LLM-powered reasoning and evaluation systems. You will explore how retrieval-augmented generation (RAG) and agentic workflows can be used to analyze, compare, and assess complex technical content at scale. The internship emphasizes building AI systems that support decision-making, qualitative judgment, and structured feedback in real-world engineering and research environments.
You will work with unstructured and semi-structured documents, design multi-step reasoning pipelines, and evaluate system behavior against domain-specific expectations and constraints.
Key Responsibilities
- Design and implement multi-step agentic workflows for analyzing and evaluating technical content.
- Develop RAG-based pipelines that combine internal documentation and reference materials with LLM reasoning.
- Build AI agents capable of:
- Comparing proposed ideas or approaches against known solutions or baselines
- Identifying conflicts, gaps, redundancies, or lack of novelty
- Producing structured assessments and constructive feedback
- Experiment with prompting strategies, planning, reflection, and tool usage to improve reasoning quality and consistency.
- Evaluate and iterate on system performance using qualitative and semi-quantitative metrics.
- Collaborate with engineers and researchers to translate ambiguous evaluation criteria into actionable AI workflows.
Requirements
- Currently enrolled in a BS or MS program in Computer Science, Electrical Engineering, or a related field
- Strong programming skills in Python
- Hands-on experience with LLMs, including prompt design and experimentation
- Familiarity with retrieval-augmented generation (RAG) concepts (e.g., embeddings, vector search, context assembly)
- Experience or coursework involving multi-step workflows, pipelines, or agent-based systems
- Strong written and verbal communication skills, especially for explaining technical decisions
- Ability to work independently and communicate technical ideas clearly
Additional Skills Preferred (but not required):
- Experience with agent orchestration frameworks (e.g., LangGraph, LangChain, custom agent loops)
- Exposure to LLM evaluation techniques, including rubric-based scoring, pairwise comparison, or ranking tasks
- Experience working with document-heavy or text-analysis problems (e.g., reviews, reports, proposals, research papers)
- Familiarity with semantic similarity, novelty detection, or content comparison techniques
- Interest in building AI systems that support human judgment and decision-making, not just generation
- Comfort working with imperfect data, evolving requirements, and subjective evaluation criteria
See All 13 AI Intern Jobs in Texas
Find roles in Texas that match your experience and apply in just a few clicks.
Find AI Intern JobsAI Intern Jobs by City in Texas
Where Texas roles are concentrated, by current openings.
AI Intern Job Market in Texas
A snapshot from current Texas openings, updated as new roles post.
Who's Hiring
- Advantest2
- Appen Ai2
- Goldman Sachs2
- Shield AI2
- Ericsson1
Top Industries Hiring
- Technology & Software6
- Electronics & Hardware3
- Aerospace & Defense2
- Banking & Financial Services2
- Investment & Asset Management2
What Texas Employers Look For
The qualifications that appear most often in AI intern jobs across Texas.
- Enrollment in a bachelor's or master's degree program in computer science, data science, or related field
- Hands-on experience with Python and at least one machine learning framework such as TensorFlow or PyTorch
- Demonstrated coursework or projects in statistics, linear algebra, and machine learning fundamentals
- Familiarity with cloud computing environments, particularly AWS, Azure, or Google Cloud platforms
- Strong written and verbal communication skills for presenting model results to non-technical stakeholders
- Experience with version control systems such as Git and collaborative development workflows
AI Intern Jobs in Texas: Frequently Asked Questions
How do you become a ai intern in Texas?
The clearest path is enrolling in a computer science, data science, or electrical engineering program at a Texas university, since most Texas employers require active student status for internship eligibility. Schools such as UT Austin, Texas A&M, and Rice University have dedicated career centers that connect students directly with Texas-based AI programs. Building a GitHub portfolio of machine learning projects and completing coursework in Python and statistics significantly strengthens applications before the recruiting season opens.
Which companies hire ai interns in Texas?
Employers hiring ai interns in Texas right now include Advantest, Appen Ai, and Goldman Sachs, based on current listings on Migrate Mate as of June 2026. Texas's concentration of energy, semiconductor, and enterprise technology companies means AI internship programs here often focus on applied industrial and business intelligence problems rather than pure research.
Which Texas cities have the most ai intern jobs?
Austin, Dallas, and Houston have the most ai intern openings in Texas. Austin's dense technology startup ecosystem and headquarters of major firms drives the largest share of listings, while Dallas benefits from its corporate headquarters concentration in finance and telecom, and Houston's energy sector creates demand for AI interns focused on industrial and geospatial data applications.
Are there remote ai intern jobs in Texas?
Yes, and more than most fields. About 23% of ai intern openings tied to Texas are remote or hybrid as of June 2026, reflecting the desk-based and software-driven nature of AI work. Roles centered on model development, data labeling review, and research analysis are the most consistently offered in remote or hybrid formats, while positions requiring access to proprietary hardware or on-site data centers remain largely in-person.
How can I get hired as a ai intern in Texas with little or no experience?
The most realistic entry point is applying to structured undergraduate internship programs at large Texas employers, which are specifically designed for candidates without prior professional AI experience. Companies like Dell Technologies and Texas Instruments recruit through university career fairs at Texas schools and accept candidates whose strongest credential is academic project work. Contributing to open-source machine learning repositories and completing a publicly visible capstone project gives hiring managers something concrete to evaluate when a resume carries no internship history.
Where can I find and apply to ai intern jobs in Texas?
You can find and apply to ai intern jobs in Texas on Migrate Mate, which lists current Texas openings updated regularly. Search the available roles, identify the ones that match your background and timeline, and apply directly through each listing without needing to create a profile first.
See All 13 AI Intern Jobs in Texas
Find roles in Texas that match your experience and apply in just a few clicks.
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