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Artificial Intelligence Testing Jobs in Texas (NOW HIRING)

Artificial Intelligence (AI) Engineer

Dallas, TX · On-site

$104K - $126K/yr

Iterate rapidly based on feedback, testing outcomes, observed user behavior, and evolving ... Science, Artificial Intelligence, or a related quantitative field. * 1-3 years of relevant ...

Tax Artificial Intelligence Manager

Houston, TX · On-site

$106K - $138K/yr

The Tax Artificial Intelligence Manager leads the engineering team responsible for building and ... Improve engineering practices around testing, CI/CD, monitoring, deployment, documentation, and ...

Artificial Intelligence Engineer (AI/ML)

Austin, TX · On-site

$113K - $136K/yr

Artificial Intelligence Engineer (AI/ML) Duration: 12 Months Location: Austin, TX 78744 Note: This ... Conduct rigorous testing and quality assurance of AI models and outputs. Ensure compliance with ...

Tax Artificial Intelligence Manager

Dallas, TX · On-site

$109K - $143K/yr

The Tax Artificial Intelligence Manager leads the engineering team responsible for building and ... Improve engineering practices around testing, CI/CD, monitoring, deployment, documentation, and ...

The Tax Artificial Intelligence Manager leads the engineering team responsible for building and ... Improve engineering practices around testing, CI/CD, monitoring, deployment, documentation, and ...

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Artificial Intelligence Testing information

What are some common challenges faced by professionals in Artificial Intelligence Testing?

Professionals in Artificial Intelligence Testing often encounter unique challenges, such as validating the unpredictable behavior of machine learning models and ensuring algorithmic fairness and accuracy. They must design comprehensive test cases to cover a wide variety of data inputs and potential edge cases, often in complex, rapidly evolving environments. Collaboration with data scientists, developers, and stakeholders is essential to understand model requirements and to interpret test results accurately. Staying up-to-date with advances in both AI and testing technologies is also key, as the field is continually evolving.

What are the key skills and qualifications needed to thrive in the Artificial Intelligence Testing position, and why are they important?

To thrive in Artificial Intelligence Testing, candidates typically need a background in computer science, machine learning concepts, software testing methodologies, and knowledge of programming languages like Python or Java. Familiarity with AI testing frameworks, version control systems, and tools such as TensorFlow, PyTorch, or JUnit is highly valued, along with certifications in software testing or AI. Strong problem-solving ability, attention to detail, and effective communication skills are critical soft skills in this role. These qualifications ensure the tester can rigorously validate AI models, collaborate well with development teams, and maintain high-quality, reliable AI systems.

What is an Artificial Intelligence Testing job?

An Artificial Intelligence Testing job involves evaluating and validating AI models, algorithms, and systems to ensure accuracy, reliability, and fairness. Testers design test cases, identify biases, detect errors, and assess model performance under different conditions. They use tools like automation frameworks, data validation techniques, and model debugging to improve AI functionality. The role requires knowledge of machine learning, programming, and testing methodologies to ensure AI systems perform as expected in real-world scenarios.

What are the most commonly searched types of Artificial Intelligence Testing jobs in Texas? The most popular types of Artificial Intelligence Testing jobs in Texas are:
What cities in Texas are hiring for Artificial Intelligence Testing jobs? Cities in Texas with the most Artificial Intelligence Testing job openings:
Infographic showing various Artificial Intelligence Testing job openings in Texas as of July 2026, with employment types broken down into 82% Full Time, 15% Part Time, and 3% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution.
Artificial Intelligence/Machine Learning Engineer

Artificial Intelligence/Machine Learning Engineer

Proventus Metrics

Austin, TX • On-site

Other

This job post has expired 1 day ago. Applications are no longer accepted.


Job description

Artificial Intelligence/Machine Learning Engineer
Austin, TX (Hybrid)Introduction:

The Artificial Intelligence/Machine Learning Engineer will be responsible for supporting critical artificial intelligence initiatives at the Texas Department of Public Safety. This role will involve building and deploying components of the enterprise search tool, assisting with the configuration, rollout, and documentation of the Darwin AI inventory system, supporting implementation and testing of AI agents, and developing technical controls and processes for AI governance adoption.

Responsibilities:
  • Building and deploying components of the enterprise search tool
  • Assisting with the configuration, rollout, and documentation of the Darwin AI inventory system
  • Supporting implementation and testing of AI agents aligned to business unit needs
  • Developing technical controls, documentation, and processes required for AI governance adoption