AI Data Specialist Jobs in Texas
AI Data Specialist jobs in Texas are among the most active in the country, with strong demand from entry-level analysts through senior machine learning engineers concentrated in technology, energy, financial services, and healthcare. Austin, Dallas, and Houston anchor the hiring market, where established employers like Dell Technologies, ExxonMobil, and JPMorgan Chase maintain large data and analytics teams. The most sought-after specialties in Texas are NLP pipeline development, computer vision annotation, and large language model fine-tuning. Find a role that fits below and apply directly.
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Job Description
The Artificial Intelligence (AI) engineer will develop AI/ML proof-of-concept demonstrations and build new AI/ML solutions that scale with TxDOT’s pipelines and workflows. The role will be embedded within the Traffic Technology team with the goal to develop AI/ML for Operational Technology that improves the safety and operations of the TxDOT roadway system. The AI engineer will work across teams such as Traffic Technology, ITD AI team, and TRF to gather business requirements, develop AI software, and demonstrate successful solutions to end-users.
**Core Responsibilities**
Gather and document AI solution requirements from business stakeholders.
Develop AI proof-of-concepts and transition successful prototypes into production systems.
Design and implement scalable AI pipelines for enterprise applications.
Train, fine-tune, and validate AI/ML models for optimal performance.
Write clean, efficient software code and scripts for AI workflows.
Conduct rigorous testing and quality assurance of AI models and outputs.
Ensure compliance with organizational IT governance, security, and audit standards.
**Stakeholder Engagement & Communication**
Act as liason between Traffic Technology team, business stakeholders, and automation developers.
Facilitate requirements gathering and ensure clarity in AI solution design.
Communicate progress, risks, and issues to project sponsors and leadership teams.
**Delivery Excellence & Governance**
Ensure automation projects comply with TxDOT’s IT governance, security, and audit requirements.
Promote reusable components and standardized AI development practices.
Conduct post-implementation reviews to capture lessons learned and improve delivery methods.
**Team Coordination & Support**
Collaborate with data engineers, business analysts, and infrastructure teams.
Provide guidance on AI best practices and assist in troubleshooting.
Support knowledge sharing and continuous improvement within the team.
MINIMUM YEARS OF EXCPERIENCE SKILL & QUALIFICATION
--- Python – comfortable writing and debugging Python code, developed through coursework, internships, or personal projects
--- Machine Learning Fundamentals - Exposure to building and training ML models using frameworks such as scikit-learn, PyTorch, or TensorFlow
(academic, internship, or personal projects)
--- Cloud Platforms - Familiarity with at least one major cloud provider (AWS, Azure, GCP, or OCI); coursework, sandbox, or free-tier experience is
acceptable
Version Control - Experience using Git/GitHub for collaborative development
--- Databases - Working knowledge of SQL
--- Communication & Problem-Solving - Strong analytical skills and a demonstrated willingness to learn production engineering practices (Docker,
CI/CD, cloud deployment) on the job
--- Command Line Interface (CLI) - Basic comfort navigating and running commands in a terminal environment
PREFERRED SKILLS & QUALIFICATION
--- Exposure to Docker or other containerization concepts through coursework or personal projects
--- Coursework or personal projects involving computer vision (PyTorch/TensorFlow, OpenCV) or other applied ML domains
--- Familiarity with Bash or PowerShell scripting for basic automation
--- Familiarity with cloud AI services (e.g., Azure AI, AWS SageMaker, GCP Vertex AI) through coursework, certifications, or personal projects
--- Exposure to NoSQL or vector databases
--- A portfolio of academic, capstone, hackathon, or open-source ML projects (e.g., a GitHub profile)
--- Coursework or interest in cloud-based CI/CD pipelines (Azure DevOps, GitHub Actions, or similar)
--- Curiosity about applied AI/ML research and current industry tools
--- Exposure to data pipelines or streaming concepts (e.g., Kafka) through coursework or projects
Pay: $33.00 - $38.00 per hour
Expected hours: No more than 33.0 per week
Benefits:
- 401(k)
- 401(k) matching
- Dental insurance
Work Location: In person
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Find AI Data Specialist JobsAI Data Specialist Jobs by City in Texas
Where Texas roles are concentrated, by current openings.
AI Data Specialist Job Market in Texas
A snapshot from current Texas openings, updated as new roles post.
Who's Hiring
Top Industries Hiring
- Education
- Science & Research
- Technology & Software
- Distribution & Wholesale
- Banking & Financial Services
What Texas Employers Look For
The qualifications that appear most often in AI data specialist jobs across Texas.
- Bachelor's degree in computer science, data science, statistics, or a related quantitative field
- Proficiency in Python and SQL for data cleaning, labeling pipelines, and model evaluation
- Hands-on experience with machine learning frameworks such as TensorFlow, PyTorch, or Hugging Face
- Familiarity with data annotation tools and quality control workflows for supervised learning datasets
- Experience working in cloud environments, particularly AWS, Azure, or Google Cloud Platform
- Strong written communication skills for documenting labeling guidelines and model performance reports
AI Data Specialist Jobs in Texas: Frequently Asked Questions
How do you become a ai data specialist in Texas?
Most ai data specialists in Texas enter the field with a bachelor's degree in data science, computer science, or statistics, though applied mathematics and engineering backgrounds are also common among Texas employers. There is no state-issued license required to work in this role. Building a portfolio of annotation projects, fine-tuning experiments, or NLP pipelines and earning vendor certifications from AWS or Google Cloud strengthens candidacy considerably with Texas technology and energy firms.
How much do AI data specialists make in Texas?
AI data specialists in Texas earn a median of about $122,090 a year, based on May 2025 Bureau of Labor Statistics wage data, ranging from around $64,540 for the lowest 10% to over $170,780 for the top 10%. Pay rises with experience, specialty, and employer.
Which companies hire ai data specialists in Texas?
Employers hiring ai data specialists in Texas right now include University of Texas at El Paso, AMD, and Amazon Web Services, based on current listings on Migrate Mate as of September 2026. Texas's concentration of energy giants, regional financial institutions, and large healthcare networks means demand for this role extends well beyond pure technology companies.
Which Texas cities have the most ai data specialist jobs?
Austin, Houston, and Dallas have the most ai data specialist openings in Texas. Austin's dense technology sector drives the bulk of listings, while Dallas attracts demand from financial services and enterprise software firms, and Houston's energy and medical center industries generate consistent openings for data specialists working on operational and research datasets.
Are there remote ai data specialist jobs in Texas?
Yes, and more than most fields. About 46% of ai data specialist openings tied to Texas are remote or hybrid as of September 2026, reflecting how thoroughly this work relies on cloud platforms and shared annotation environments rather than on-site equipment. Data labeling, model evaluation, and pipeline quality roles are the most consistently offered in fully remote formats.
How can I get hired as a ai data specialist in Texas with little or no experience?
The most realistic entry path is through a data annotation contractor or a junior data analyst role at a Texas technology company, where hands-on labeling work builds the portfolio that senior roles require. Large Texas employers such as Dell Technologies and regional health systems run internship and rotational programs that accept recent graduates from Texas state university data science programs. Completing an open-source annotation project, earning a Google Cloud or AWS cloud practitioner credential, and applying to data quality associate postings are concrete steps that move a candidate from no experience to first interview.
Where can I find and apply to ai data specialist jobs in Texas?
You can find and apply to ai data specialist jobs in Texas on Migrate Mate, which lists current Texas openings across industries and experience levels. Find roles that fit your background and apply directly to the ones that match.
See All 28 AI Data Specialist Jobs in Texas
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