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Ai Test Engineer Jobs in Minnesota (NOW HIRING)

trane technologies

Software Test Engineer

Saint Paul, MN · On-site

  • Medical

  • Retirement

  • PTO

Our team-including BrainBox AI, Nuvolo, and more-combines technical expertise with advanced ... The Software Test Engineer also prepares test results, defect summaries, and quality reports to ...

CommScope Inc.

Product Test Engineer

Shakopee, MN

$76K - $95K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Together, we help operators stay ahead of evolving AI applications and increasing demands. General ... Collaboration with current lab staff which includes other test engineers and technicians in team ...

CommScope, Inc.

Product Test Engineer

Shakopee, MN · On-site

$76K - $95K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Together, we help operators stay ahead of evolving AI applications and increasing demands. General ... Collaboration with current lab staff which includes other test engineers and technicians in team ...

Tata Consultancy Service Limited

Analyst

Hopkins, MN · On-site

$110K - $120K/yr

AI Automation Engineer QA Copilot is an AI-driven tool inside TestCollab that helps you generate and execute test cases end-to-end, including AI Test Case Generation from requirements or screenshots ...

PB consulting

$44.50 - $58.75/hr

Strong knowledge of AI-driven test automation, workflow automation, and quality engineering practices. * Experience with GitHub platform, CI/CD workflows, and automation pipelines. Key ...

Autodesk

$106K - $138K/yr

... ML/AI systems * Strong programming skills in Python, with experience in test automation ... Familiarity with popular CAD environments tooling * Proficient in Automation and UAT test suite ...

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All JobsAi Test Engineer JobsAi Test Engineer Jobs in Minnesota

Ai Test Engineer information

See Minnesota salary details

$17

$43

$73

How much do ai test engineer jobs pay per hour?

As of Aug 15, 2026, the average hourly pay for ai test engineer in Minnesota is $43.33, according to ZipRecruiter salary data. Most workers in this role earn between $32.74 and $51.35 per hour, depending on experience, location, and employer.

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.

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 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 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 popular job titles related to Ai Test Engineer jobs in Minnesota?

For Ai Test Engineer jobs in Minnesota, the most frequently searched job titles are:

What job categories do people searching Ai Test Engineer jobs in Minnesota look for?

The top searched job categories for Ai Test Engineer jobs in Minnesota are:

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

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

Ai Test Engineer jobs near you
Infographic showing various Ai Test Engineer job openings in Minnesota as of August 2026, with employment types broken down into 60% Full Time, and 40% Contract. Highlights an 100% In-person job distribution, with an average salary of $90,132 per year, or $43.3 per hour.

Test Engineer

Strategic Staffing Solutions

Minneapolis, MN • Hybrid

Contractor

Posted 18 days ago

Job description

Job Description Test Engineer Location: Minneapolis, MN (Hybrid) Duration: 12 Month Contract Position Summary The QA Analyst/Test Engineer will support quality assurance activities across the SNAP-E program and the ServiceNow Platform Enhancement portfolio. This role will be responsible for developing testing strategies, executing test plans, managing defects, coordinating UAT activities, and establishing automated testing capabilities using ServiceNow Automated Test Framework (ATF). This position plays a critical role in improving platform quality, reducing production risk, increasing release confidence, and supporting the organization's AI, automation, and digital transformation initiatives.

The ideal candidate possesses strong ServiceNow testing experience and hands-on expertise in designing and maintaining ATF automation. Key Responsibilities Develop and execute comprehensive test strategies and test plans for ServiceNow initiatives. Create and maintain manual and automated test cases.

Design, develop, and maintain ServiceNow Automated Test Framework (ATF) test suites. Perform functional, integration, regression, end-to-end, and release validation testing. Support testing activities for SNAP-E use cases, AI-enabled workflows, and platform enhancements.

Coordinate User Acceptance Testing (UAT) with business stakeholders. Identify, document, prioritize, and track defects through resolution. Collaborate with developers, business analysts, architects, and product owners throughout the SDLC.

Establish testing standards, processes, and best practices across the ServiceNow platform. Support platform upgrades, releases, and deployment validation activities. Produce testing metrics, status reporting, and quality dashboards.

Build reusable regression testing assets to improve long-term testing efficiency. Required Qualifications 5+ years of Quality Assurance or Software Testing experience. 3+ years of ServiceNow testing experience.

Hands-on experience with ServiceNow Automated Test Framework (ATF). Experience testing ServiceNow workflows, catalog items, integrations, and platform customizations. Experience creating test plans, test cases, and test scripts.

Strong understanding of Agile and Scrum methodologies. Strong analytical, troubleshooting, and problem-solving skills. Excellent communication and collaboration abilities.

Preferred Qualifications ServiceNow Certified System Administrator (CSA). ServiceNow Certified Implementation Specialist or equivalent certification. Experience supporting ServiceNow ITSM, ITOM, Employee Center, Service Catalog, and IntegrationHub solutions.

Experience supporting AI, automation, or digital transformation initiatives. Experience with test automation and regression testing strategies.

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