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Artificial Intelligence Testing Jobs in Texas (NOW HIRING)

Sr Robotics Analysts

Frisco, TX · On-site

$82K - $109K/yr

Working under limited supervision, this job contributes to the development and testing of robotic solutions and supports the administration of artificial intelligence workforce systems. This job ...

... testing, deployment, and support of software solutions that combine power system data, industrial connectivity, cloud technologies, and Artificial Intelligence (AI) capabilities. Working closely with ...

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Jr. AI Systems Analyst

Austin, TX · On-site

$45 - $50/hr

Testing and validation of solutions in rapid development environments: 1 year Preferred Skills (Lookout for): * Degree in CS, CIS, Data Science, or Artificial Intelligence: 1 year * Hands-on ...

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Jr. AI Systems Analyst

Austin, TX · On-site

$45 - $50/hr

Testing and validation of solutions in rapid development environments: 1 year Preferred Skills (Lookout for): * Degree in CS, CIS, Data Science, or Artificial Intelligence: 1 year * Hands-on ...

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Senior Product Manager, Intelligence

Austin, TX · Remote

$125K - $165K/yr

S. adults received an Everlywell test, solidifying our spot as the #1 at-home testing company in ... artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing ...

Senior Product Manager, Intelligence

Austin, TX · On-site

$125K - $165K/yr

S. adults received an Everlywell test, solidifying our spot as the #1 at-home testing company in ... artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing ...

Lead Generative AI Data Engineer III

Austin, TX · On-site

$101K - $133K/yr

Lead the design, development, testing, and deployment of machine learning and artificial intelligence solutions for business and client use cases. * Manage AI engineering workstreams by assigning ...

Lead Generative AI Data Engineer III

Austin, TX · On-site

$101K - $133K/yr

Lead the design, development, testing, and deployment of machine learning and artificial intelligence solutions for business and client use cases. * Manage AI engineering workstreams by assigning ...

Create a simple quality assurance testing role for this sandbox fixture. #BrightpathTechnologies #LI-PROMOTED #LI-Remote $0 - $0 a year We may use artificial intelligence (AI) tools to support parts ...

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Create a simple quality assurance testing role for this sandbox fixture. #BrightpathTechnologies #LI-PROMOTED #LI-Remote $0 - $0 a year We may use artificial intelligence (AI) tools to support parts ...

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The AI/ML Intern will support the development, testing, and deployment of AI-driven solutions that ... Artificial Intelligence / Machine Learning * Software Engineering * Master's degree candidates in ...

Showing results 41-60

Artificial Intelligence Testing information

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 key skills and qualifications needed to thrive in artificial intelligence testing?

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 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.

How do I become an artificial intelligence tester?

To become an artificial intelligence tester, you typically need a background in computer science, software engineering, or data science, along with knowledge of machine learning and AI concepts. Skills in programming languages such as Python or Java, experience with testing tools, and understanding of AI model behavior are essential. Earning relevant certifications or completing specialized training can also improve job prospects.

What are popular job titles related to Artificial Intelligence Testing jobs in Texas?

For Artificial Intelligence Testing jobs in Texas, the most frequently searched job titles are:

What job categories do people searching Artificial Intelligence Testing jobs in Texas look for?

The top searched job categories for 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 August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 11% Part Time, 4% Contract, and 2% Nights. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Epic Clinical Business Intelligence Analyst - Intermediate (On-Site)

UT Health San Antonio

San Antonio, TX • On-site

Full-time

Posted 19 days ago


UT Health San Antonio rating

7.3

Company rating: 7.3 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

371st of 631 rated colleges and universities


Job description


The BI Developer (Intermediate) at UT Health San Antonio supports clinical, operational, and financial decision making by transforming complex healthcare data into meaningful, actionable insights. Working under supervision, this role designs, develops, tests, and maintains reporting and analytics solutions, with Epic serving as the primary platform.
The BI Developer partners with clinical, operational, and Health Information Systems stakeholders to translate business requirements into scalable dashboards, reports, and key performance indicators. This role applies strong analytical thinking, data modeling principles, and SQL expertise to ensure accurate, reliable, and high quality reporting solutions. In addition to Epic reporting tools such as Radar, Reporting Workbench, SlicerDicer, and Clarity or Caboodle, familiarity with Advanced Analytics Plus capabilities, including data science and artificial intelligence tools, is valued.
The position participates in Epic upgrade activities, including testing and validation, and provides limited after hours on call support during designated rotation periods a few weeks per year. The BI Developer contributes to continuous improvement efforts, data governance practices, and the ongoing evolution of the organization's analytics environment.
Responsibilities
  • esign, build, test, and maintain reporting and analytics solutions, with Epic as the primary platform
  • Analyze structured and unstructured data to identify trends, patterns, and actionable insights
  • Translate business requirements into technical specifications and develop dashboards, scorecards, and KPIs that support clinical, operational, and financial decision making
  • Apply data management and evaluation standards to ensure accuracy, integrity, and reliability of reporting solutions
  • Interpret and develop complex SQL queries for ad hoc reporting, data validation, and ETL processes
  • Create interactive visualizations and present findings through clear verbal, written, and visual communication, offering recommendations that support performance improvement
  • Provide BI and data analytics consultative guidance to stakeholders on the value and strategic use of data
  • Support designated Epic modules and application workgroups while collaborating across service lines to deliver holistic, organization wide insights.
  • Participate in Epic upgrades and various go live initiatives, including build review, testing, validation, issue resolution, and post implementation support to ensure reporting continuity and data integrity.
  • Partner with the training team and, when appropriate, work directly with end users to deliver education and ongoing support on Epic reporting tools, dashboards, and self service analytics solutions to ensure accurate interpretation and effective use of data.
  • Provide limited after hours on call support during designated rotation periods a few weeks per year
  • Stay informed about Business Intelligence industry trends, emerging analytics technologies, and Epic enhancements to continuously improve solutions
  • Perform other duties as assigned

Qualifications
  • Proven ability to successfully manage and execute multiple assignments simultaneously in a matrixed healthcare environment
  • Strong critical thinking and analytical problem solving skills
  • Strong written, verbal, and presentation communication skills
  • Demonstrated troubleshooting capabilities
  • Strong organizational and time management skills with attention to detail
  • Proficiency in Epic reporting tools, including Radar, Reporting Workbench, SlicerDicer, and Clarity or Caboodle data models
  • Working knowledge of SQL, dimensional data modeling, and data warehousing concepts

As specified by the department director, Epic certification for assigned modules are required within eighteen (18) months of hire. Epic certification must be maintained per Epic Corporation standards - Required.
Certified in Epic Cogito Data Warehouse & Caboodle Data Model - Preferred.
Certified in Tableau - Preferred.
Proficiency with sophisticated analytics tools and programming languages (SAS, R, Python, Java, Spark, Hadoop, Alteryx, SQL); proficiency with data visualization tools (Tableau, QlikView, and others) - Preferred.
As specified by the department director, additional certifications for assigned software analytical tools (such as Tableau) are required within thirty-six (36) months of hire. Certification must be maintained per Health-IT standards
Education:
Bachelor's Degree in a scientific, technical, healthcare informatics, or mathematics field.
"This position may require the ability to maintain the security and integrity of UT San Antonio and its infrastructure per Texas EO-GA-48."

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