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Ai Test Engineer Jobs in Texas (NOW HIRING)

Flight Test Engineer (R5006)

Dallas, TX · On-site

$115K - $215K/yr

Shield AI is seeking an experienced Flight Test Engineer to plan, execute, analyze, and improve ground and flight test operations for a fast-paced next gen aircraft system. You will work closely ...

Apptronik is a human-centered robotics company developing AI-powered robots to support humanity in ... JOB SUMMARY Apptronik is seeking a Robotics Test Engineer to join the Software Integration & Test ...

This role ensures test readiness, production stability, failure analysis, process optimization, and continuous improvement of system-level testing for AI and Data Center products. The engineer serves ...

Robotics Test Engineer

Austin, TX · On-site

$80 - $110/hr

We operate at the cutting edge of embodied AI, applying our expertise across the full robotics ... Job Summary Apptronik is seeking a Robotics Test Engineer to join the Software Integration & Test ...

New

ISEE is seeking full-time AV Test Engineers to join our team. Role responsibilities include ... We may use artificial intelligence (AI) tools to support parts of the hiring process, such as ...

ISEE is seeking full-time AV Test Engineers to join our team. Role responsibilities include ... We may use artificial intelligence (AI) tools to support parts of the hiring process, such as ...

Showing results 21-40

Ai Test Engineer information

See Texas salary details

$16

$41

$69

How much do ai test engineer jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for ai test engineer in Texas is $41.22, according to ZipRecruiter salary data. Most workers in this role earn between $31.15 and $48.85 per hour, depending on experience, location, and employer.

What is an AI test engineer?

AI Test Engineers are professionals who design, develop, and execute tests to evaluate the performance, accuracy, and reliability of artificial intelligence systems and machine learning models. They work closely with data scientists and software developers to ensure AI solutions function as intended, identifying bugs, biases, and potential risks in algorithms. Their responsibilities often include creating test cases, automating test processes, and analyzing results to improve AI system quality and compliance.

What are the key skills and qualifications needed to thrive as an AI test engineer?

To thrive as an AI Test Engineer, you need a strong background in computer science, software testing methodologies, and a good understanding of machine learning concepts, often supported by a relevant degree. Familiarity with programming languages like Python, testing frameworks such as pytest, and tools like TensorFlow or PyTorch, along with certifications in software testing or AI, are typically required. Analytical thinking, attention to detail, and effective communication set top performers apart in this role. These skills and qualities are crucial for ensuring the reliability, accuracy, and ethical deployment of AI systems.

What are some common challenges AI test engineers face when validating machine learning models?

AI Test Engineers often encounter challenges such as ensuring the quality and fairness of machine learning models, identifying edge cases that the model may not handle well, and working with limited labeled data for testing. Additionally, interpreting test results can be complex due to the probabilistic nature of AI outputs, requiring close collaboration with data scientists to understand model behaviors. Effective communication and a strong foundation in both software testing and AI concepts are essential to address these challenges and ensure reliable AI solutions.

What is the difference between Ai Test Engineer vs Data Scientist?

AspectAi Test EngineerData Scientist
Required CredentialsBachelor's in CS, AI, or related field; knowledge of testing toolsBachelor's or higher in CS, Statistics, or related; proficiency in data analysis
Work EnvironmentSoftware testing teams, AI development projectsData analysis teams, AI research projects
Employer & Industry UsageTech companies, AI startups, software firmsTech companies, finance, healthcare, research institutions
Common Search & ComparisonOften compared for roles in AI testing and quality assuranceCompared for data analysis and AI model development roles

While both roles work within AI and tech environments, Ai Test Engineers focus on testing and validating AI systems, ensuring quality and performance. Data Scientists analyze data to develop models and insights. The roles are complementary but distinct in their core responsibilities.

How do I become an AI Test Engineer?

To become an AI Test Engineer, candidates typically need a strong background in computer science, software testing, or related fields, along with knowledge of AI and machine learning concepts. Skills in programming languages such as Python or Java, experience with testing tools, and understanding of AI model evaluation are essential. Earning relevant certifications and gaining experience in software development and testing environments can also improve job prospects.

What cities in Texas are hiring for Ai Test Engineer jobs?

Cities in Texas with the most Ai Test Engineer job openings:

Infographic showing various Ai Test Engineer job openings in Texas as of August 2026, with employment types broken down into 1% As Needed, 86% Full Time, 10% Part Time, 2% Contract, and 1% Nights. Highlights an 93% Physical, 1% Hybrid, and 6% Remote job distribution, with an average salary of $85,737 per year, or $41.2 per hour.

Flight Test Engineer (R5006)

Shield AI

Dallas, TX • On-site

$115K - $215K/yr

Full-time

Posted 28 days ago


Job description

Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube. 

Job Description:
Shield AI is seeking an experienced Flight Test Engineer to plan, execute, analyze, and improve ground and flight test operations for a fast-paced next gen aircraft system. You will work closely across several segment owners of engineering, operations, autonomy, systems integration, product support, and manufacturing.  
What you'll do:
  • Develop, publish, and execute comprehensive flight test plans, procedures, cards, risk assessments, safety, and readiness reviews 
  • Support integration and test of aircraft systems, payloads, comms/data links, software, ground control systems, and mission equipment 
  • Lead and coordinate pre-flight, flight, and post-flight activities, including system configuration, instrumentation, telemetry, data collection and test reports 
  • Analyze ground and flight test data to identify performance trends, anomalies, root causes, and corrective actions 
  • Coordinate with engineering teams to validate requirements, troubleshoot issues, and mature system capabilities 
  • Lead or participate in test range operations, safety briefings, go/no-go decisions, and test setup and logistics  
  • Document test results, lessons learned, anomalies, and recommendations in clear technical reports 
  • Support aircraft maintenance, configuration control, and system readiness 
  • Create and improve flight test processes, tools, data workflows, and operational efficiency 
  • Create and maintain ground and air operating limitations requirements  
  • Travel to test sites, customer locations, and field exercises as required 
Required qualifications:
  • Bachelor’s degree in Science, Technology, Engineering or Math (STEM Degree) 
  • 5-10 years of experience with developmental and/or operational ground and flight test, unmanned/manned aircraft systems, aircraft integration, or aerospace systems engineering 
  • Strong understanding of aircraft systems, flight dynamics, avionics, telemetry, sensors, or control systems  
  • Proven ability to write and execute structured test plans, procedures, and reports 
  • Strong troubleshooting skills in field and/or lab environments 
  • Excellent communication skills and ability to work across engineering and operations teams 
  • Willingness and ability to travel up to 80% for candidates not based in the Wichita Metro Area, including travel to test sites, ranges, and other field locations
  • Overtime and weekend coverage as required 
Preferred qualifications:
  • 10+ years of experience with developmental and/or operational ground and flight test, unmanned aircraft systems, aircraft integration, or aerospace systems engineering 
  • Experience in Group 4-5 UAS and/or fighter type capability or similar weapons systems 
  • Familiarity with FAA, DoW, and test range flight operations 
  • Experience with autonomy, navigation, mission planning, and Command-and-Control (C2) systems 
  • Hands-on experience with aircraft maintenance, avionics integration, payload integration, and ground support equipment  
  • Experience with telemetry systems, flight and data logs, sensor data, datalinks, and RF systems 
  • Part 107 Remote Pilot Certificate or crewed aviation experience 
  • Proven Mission Control Room experience using Integrated Analysis & Data System (IADS) or similar development FTI display system  
  • Experience leading or supporting developmental flight test campaigns from design through planning and execution to include reporting 
Ideal Candidate
The ideal candidate is practical, detail-oriented engineer who is comfortable in control rooms, hangar/maintenance areas, and office type environments. You can write a detailed test plan, troubleshoot hardware and software at a test site, analyze flight data, and communicate clearly under operational pressure. You are safety-minded, have high technical acumen, and motivated by building and validating advanced and complex aircraft systems 
 
#LI-AA1
#LD

Full-time regular employee offer package:
Pay within range listed + Bonus + Benefits + Equity
 
Temporary employee offer package:
Pay within range listed above + temporary benefits package (applicable after 60 days of employment)
 
Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information.
 
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Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. 

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.