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Senior Artificial Intelligence Testing Jobs (NOW HIRING)

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Senior Artificial Intelligence Engineer

Baytown, TX · Hybrid

$95K - $130K/yr

The Senior Artificial Intelligence (AI) Engineer designs, develops, and deploys artificial intelligence solutions across the organization. This role bridges the gap between theoretical AI/ML models ...

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Senior Artificial Intelligence Testing information

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$25K

$80.3K

$163.5K

How much do senior artificial intelligence testing jobs pay per year?

As of Jul 31, 2026, the average yearly pay for senior artificial intelligence testing in the United States is $80,287.00, according to ZipRecruiter salary data. Most workers in this role earn between $41,500.00 and $103,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Senior Artificial Intelligence Testing professional, and why are they important?

To thrive as a Senior Artificial Intelligence Testing professional, you need expertise in software testing methodologies, machine learning concepts, and proficiency in programming languages like Python, along with a degree in computer science or a related field. Familiarity with AI testing frameworks, automated testing tools (such as TensorFlow, PyTorch, Selenium), and relevant certifications (like ISTQB) is often required. Strong analytical thinking, attention to detail, and effective communication skills distinguish top performers in this role. These competencies are critical to ensuring the quality, reliability, and ethical integrity of AI systems in complex, real-world applications.

What are Senior Artificial Intelligence Testing professionals?

Senior Artificial Intelligence Testing professionals are experienced specialists responsible for designing, executing, and overseeing tests to ensure the quality, reliability, and ethical standards of AI systems. They develop test plans, create testing frameworks, and analyze AI model behaviors to identify errors, biases, or security vulnerabilities. They often collaborate with data scientists, engineers, and product managers to refine AI algorithms and ensure they perform as intended in real-world scenarios. Their role is critical in maintaining trust and safety in AI-driven products and services.

Is AI testing a good career?

AI testing is a growing field within artificial intelligence roles, focusing on evaluating AI systems for accuracy, reliability, and safety. It requires skills in programming, data analysis, and understanding AI models, often involving tools like Python and machine learning frameworks. The demand for AI testers is increasing as AI applications expand across industries, making it a promising career path for those with technical expertise.

How much do AI testers get paid?

AI testers typically earn between $70,000 and $120,000 annually, depending on experience, location, and industry. Senior AI testers with specialized skills in machine learning and automation tools can earn higher salaries, often exceeding $130,000 per year.

What are some common challenges faced by Senior Artificial Intelligence Testing professionals, and how can they be addressed?

Senior Artificial Intelligence Testing professionals often encounter challenges such as ensuring the reliability of complex AI models, dealing with insufficient or biased data, and validating unpredictable outputs. Addressing these issues typically involves developing comprehensive test plans, employing advanced testing frameworks, and collaborating closely with data scientists and engineers. Regular communication with cross-functional teams and staying updated on the latest AI testing methodologies are also essential for overcoming these challenges and ensuring robust, ethical AI systems.

What is the salary of AI tester?

The salary of a Senior Artificial Intelligence Tester typically ranges from $80,000 to $130,000 annually, depending on experience, location, and industry. Professionals in this role often require knowledge of machine learning, programming, and testing tools, and may work in teams using automation frameworks.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as senior AI researcher or lead engineer, often involving advanced skills in machine learning, deep learning, and data analysis. These roles usually require extensive experience, specialized certifications, and may include responsibilities like developing innovative AI models or overseeing AI projects in a corporate environment.

What is the difference between Senior Artificial Intelligence Testing vs Machine Learning Engineer?

AspectSenior Artificial Intelligence TestingMachine Learning Engineer
Required CredentialsBachelor's or Master's in CS, experience in AI testing toolsBachelor's or Master's in CS, strong programming skills, knowledge of ML frameworks
Work EnvironmentAI development teams, quality assurance, testing labsData science teams, software development environments, cloud platforms
Employer & Industry UsageTech companies, AI-focused firms, research institutionsTech companies, startups, research labs, AI product companies
Common Search & Comparison IntentUnderstanding testing roles in AI projectsDeveloping and deploying machine learning models

While Senior Artificial Intelligence Testing focuses on evaluating and validating AI systems for accuracy and reliability, Machine Learning Engineers design, build, and optimize machine learning models. Both roles require a strong background in computer science and AI, but their core responsibilities differ: testing emphasizes quality assurance, whereas engineering emphasizes model development and deployment.

More about Senior Artificial Intelligence Testing jobs
What cities are hiring for Senior Artificial Intelligence Testing jobs? Cities with the most Senior Artificial Intelligence Testing job openings:
What are the most commonly searched types of Artificial Intelligence Testing jobs? The most popular types of Artificial Intelligence Testing jobs are:
What states have the most Senior Artificial Intelligence Testing jobs? States with the most job openings for Senior Artificial Intelligence Testing jobs include:
What job categories do people searching Senior Artificial Intelligence Testing jobs look for? The top searched job categories for Senior Artificial Intelligence Testing jobs are:
Senior Artificial Intelligence Testing jobs near you
Infographic showing various Senior Artificial Intelligence Testing job openings in the United States as of July 2026, with employment types broken down into 80% Full Time, 16% Part Time, and 4% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $80,287 per year, or $38.6 per hour.

Senior Artificial Intelligence Engineer

University Hospitals

Shaker Heights, OH

$117K - $155K/yr

Full-time

Posted 8 days ago

University Hospitals rating

7.3

Company rating: 7.3 out of 10

Based on 619 frontline employees who took The Breakroom Quiz

304th of 885 rated healthcare providers

Job description

A Brief Overview

The Senior Artificial Intelligence (AI) Engineer will facilitate the design and development of innovative artificial intelligence solutions, leveraging their experience in software engineering, machine learning, deep learning, and natural language processing. Collaborating with cross-functional teams, they will actively contribute to the development, testing, and training of AI and advanced analytics models. They will be responsible for hands-on coding and machine learning algorithm development to predict patient outcomes, optimize treatment plans, and improve overall healthcare delivery. They will play a key role in mentoring junior team members, staying abreast of industry trends, and continuously enhancing our AI and predictive capabilities.

What You Will Do
  • Leverage Microsoft Technologies (Azure and Foundry) to build state of the art software solutions.
  • Design, develop and implement advanced analytics and AI solutions that align with our overall business objectives and requirements.
  • Utilize programming languages (such as Python, R, Pyspark and SQL) and analytics frameworks to create efficient and scalable code.
  • Work closely with operational and business owners in applying advanced analytics to clinical data for outcomes analysis, patient risk stratification, and predictive modeling in our healthcare setting. Implement and optimize machine learning algorithms, statistical models, and other advanced analytics techniques.
  • Create and maintain data models that facilitate efficient storage, retrieval, and analysis of large volumes of structured and unstructured data. Ensure that the data models support the integration of diverse data sources.
  • Collaborate with healthcare professionals, data scientists, IT teams, and other stakeholders to integrate analytics into healthcare processes and decision-making. Communicate effectively to bridge the gap between technical and non-technical stakeholders to ensure alignment with overall business goals.
  • Maintain continuing education on the latest advancements in analytics, machine learning, and related technologies. Demonstrate a willingness to explore and adopt new tools and methodologies to continuously enhance the analytics architecture across the system.
  • Thoroughly test, refine, and optimize analytics solutions to generate accurate, reliable, and robust learning models. Implement testing frameworks and methodologies to support the development lifecycle.
  • Create and maintain documentation for developed analytics solutions, including code documentation, data flows, models, and algorithms. Provide knowledge transfer and training to other team members and end-users as needed.
  • Incorporate security measures to protect sensitive data within analytics solutions and ensure compliance with data protection and privacy regulations.
  • Train staff in advanced analytics, machine learning methods, and computer languages to enhance IT analytics capabilities, Utilizes and maintains appropriate change control procedures and standards and performs call rotation duties as required.
Additional Responsibilities
  • Performs other duties as assigned.
  • Complies with all policies and standards.
  • For specific duties and responsibilities, refer to documentation provided by the department during orientation.
  • Must abide by all requirements to safely and securely maintain Protected Health Information (PHI) for our patients. Annual training, the UH Code of Conduct and UH policies and procedures are in place to address appropriate use of PHI in the workplace.
Education
  • Bachelor's Degree in Computer Science, Computer Engineering, Business Management, Mathematics or related field. (Required) and
  • Master's Degree in Data Science or Data Analytics related concentration. (Preferred)
Work Experience
  • 5 years Experience in software development / engineering using current Microsoft technologies including web application development and/or data science and advanced analytics solutions. (Required) and
  • 3 years Knowledge in AI technologies and tools, encompassing Microsoft/ Azure Foundry, Machine Learning, Deep Learning, Natural Language Processing, and the application of AI technologies to create practical and comprehensive technological solutions. (Required) and
  • 1 years Experience with healthcare data structures, regulatory considerations, and electronic health records (EHR) systems, along with a background in developing and implementing advanced analytics solutions in the healthcare domain. (Preferred)
Knowledge, Skills, & Abilities
  • Experience with the following web authoring languages, database technologies, methodologies, tools and technologies: C#/ .NET , SQL, JavaScript / JQuery, Web APIs, Visual Studio, Azure DevOps, IIS, Agile and SCRUM software development methodologies (Required proficiency)
  • Knowledge and experience with advanced analytics, statistics, AI, Machine Learning, development and implementation of predictive analytics in clinical or operational settings. (Required proficiency)
  • Knowledge of best programming practices to address security vulnerabilities. (Required proficiency)
  • Ability to troubleshoot technical problems related to the implementation and processing of software. (Required proficiency)
  • Exhibits a proven track record of leveraging Machine Learning to extract valuable insights and predictions from diverse datasets in a business or healthcare setting. (Required proficiency)
  • Proficient in one or more programming languages commonly used in data analytics such as Python, Pyspark, R, Scala or similar, with the ability to manipulate and analyze large datasets. Familiarity with data manipulation and analysis libraries. (Required proficiency)
  • Demonstrates a strategic mindset with the ability to identify opportunities for leveraging analytics to solve business challenges, improve processes, and drive overall business success. (Preferred proficiency)
  • Exceptional communication skills, with the ability to articulate complex analytical findings to both technical and non-technical stakeholders. (Required proficiency)
  • Strong attention to detail and highly organized. (Required proficiency)
Physical Demands
  • Standing Occasionally
  • Walking Occasionally
  • Sitting Constantly
  • Lifting Rarely up to 20 lbs
  • Carrying Rarely up to 20 lbs
  • Pushing Rarely up to 20 lbs
  • Pulling Rarely up to 20 lbs
  • Climbing Rarely up to 20 lbs
  • Balancing Rarely
  • Stooping Rarely
  • Kneeling Rarely
  • Crouching Rarely
  • Crawling Rarely
  • Reaching Rarely
  • Handling Occasionally
  • Grasping Occasionally
  • Feeling Rarely
  • Talking Constantly
  • Hearing Constantly
  • Repetitive Motions Frequently
  • Eye/Hand/Foot Coordination Frequently
Travel Requirements
  • 0%

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About University Hospitals

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For more than 155 years, University Hospitals has been on a mission to heal, teach and discover. As a renowned academic medical center and community hospital network, we’ve expanded across Northeast Ohio to deliver what matters most to our patients: personalized, compassionate care; medical discovery and breakthroughs; and high-quality, affordable care close to home.

Industry

Health care and social assistance

Company size

10,000+ Employees

Headquarters location

Cleveland, OH, US

Year founded

1866

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