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Artificial Intelligence Testing Jobs (NOW HIRING)

Insperity

Artificial Intelligence Engineer III

Madison, WI · On-site

$58 - $77.75/hr

We are seeking an Artificial Intelligence Engineer III to join our team Summary: This position is ... Advanced proficiency in software engineering, including Python, APIs, testing, and system design.

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How much do artificial intelligence testing jobs pay per hour?

As of Sep 8, 2026, the average hourly pay for artificial intelligence testing in the United States is $46.47, according to ZipRecruiter salary data. Most workers in this role earn between $42.07 and $50.96 per hour, depending on experience, location, and employer.

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.
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Artificial Intelligence Testing jobs near you
Infographic showing various Artificial Intelligence Testing job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 10% Part Time, 3% Contract, and 1% Nights. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $96,666 per year, or $46.5 per hour.

Artificial Intelligence (AI) Engineer

Wilmerhale

Boston, MA • On-site

Full-time

Re-posted 11 hours ago

Job description

WilmerHale is a leading, full-service international law firm with 1,000 lawyers located throughout 12 offices in the United States and Europe. Our lawyers work at the intersection of government, technology and business, and we remain committed to our guiding principles of providing quality, excellent legal and client services; developing diversity among our lawyers and staff and cultivating an environment that promotes an ambitious spirit, collaboration and collegiality by drawing on the extraordinary talents and dynamic experience of our lawyers. Our goal is to reflect the diversity of our clients and the communities in which we practice.

About the Role

The Artificial Intelligence Engineer is responsible for developing and implementing cutting-edge AI solutions and models to solve complex problems and drive innovation at the firm. This includes working with the legal practices and business departments to support and improve their delivery of services by conceptualizing, developing, delivering, and supporting innovative solutions with a focus on AI and related technologies. The Artificial Intelligence Software Engineer works closely with other technical resources across Information Services (IS) to successfully manage the execution of AI projects, including project definition, requirements gathering, task planning, technical solution development, testing, support, and stakeholder management.  Also responsible for supporting the creation of best practices for the development, maintenance, and use of AI solutions, assessing AI-related COTS solutions, as well as assisting end users to create prompts to optimize the effectiveness of the Large Language Models (LLM) solutions.

What You Will Be Doing

       Collaborates with cross-functional teams to define AI project use cases, requirements, and objectives, ensuring alignment with overall business goals.

       Conducts research to stay up to date with the latest advancements in generative AI, machine learning, and deep learning techniques and identifies opportunities to integrate them into our products and services.  Provides updates and recommendations to Director, Application Services.

       Optimizes existing generative AI models for improved performance, scalability, and efficiency.

       Develops clear and concise documentation, including technical specifications, user guides, and presentations, to communicate complex AI and related concepts to both technical and non-technical stakeholders.

       Contributes to the establishment of best practices and standards for AI development within the organization.

       Interacts with business stakeholders and explaining technical issues and approaches to a non-technical audience.

       Provides functional and technical support and enhancements for the firm's AI solutions.

       Provides technical mentorship and guidance to other team members.

       Creates and delivers end-user training and documentation and provides second-line support to other users.

       Displays professionalism, quality service and a positive "can do" attitude to internal members/departments of the Firm.

       Initiates building and maintaining strong relationships with team members across functions and more senior client stakeholders. Uses conflict-resolution skills to facilitate strong team dynamics.

       Participates in special projects and performs other duties as assigned.

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