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Ai Test Engineer Jobs in Michigan (NOW HIRING)

Aquent

AI Software Test Engineer (SDET)

Ann Arbor, MI · On-site

$42.06 - $46.73/hr

You'll collaborate closely with AI developers, architects, and product teams to guarantee ... Test AI agents, workflows, APIs, complex system integrations, and tool-calling capabilities ...

G-TECH Services

Automotive Test Engineer

Dearborn, MI · On-site

$37/hr

Automotive Test Engineer * Define efficient physical and virtual SW validation methods by ... By submitting your application, you acknowledge that recruiting technologies, including AI-assisted ...

Autodesk

Senior Machine Learning Test Engineer

Novi, MI · On-site +1

$103K - $134K/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 ...

FastTek

Software Development Engineer in Test

Okemos, MI · On-site

$45.25 - $58.50/hr

Software Development Engineer in Test (SDET) #1058369 Summary * We are seeking a forward-thinking ... AI & Hiring Disclosure We use AI tools to support parts of our hiring process, such as reviewing ...

FastTek

Software Development Engineer in Test

Okemos, MI · On-site

$45.25 - $58.50/hr

We are seeking a forward-thinking SDET to help modernize and lead our test automation strategy ... AI & Hiring Disclosure We use AI tools to support parts of our hiring process, such as reviewing ...

Stellantis

AI Validation Engineer

Auburn Hills, MI · On-site

We are seeking a Senior AI Validation Engineer to design and implement testing strategies ... Develop automated test pipelines for LLM-based features, including hallucination detection ...

Stellantis

AI Validation Engineer

Auburn Hills, MI · On-site

We are seeking a Senior AI Validation Engineer to design and implement testing strategies ... Develop automated test pipelines for LLM-based features, including hallucination detection ...

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All JobsAi Test Engineer JobsAi Test Engineer Jobs in Michigan

Ai Test Engineer information

See Michigan salary details

$15

$38

$65

How much do ai test engineer jobs pay per hour?

As of Aug 11, 2026, the average hourly pay for ai test engineer in Michigan is $38.56, according to ZipRecruiter salary data. Most workers in this role earn between $29.13 and $45.67 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 Michigan? For Ai Test Engineer jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Ai Test Engineer jobs in Michigan look for? The top searched job categories for Ai Test Engineer jobs in Michigan are:
What cities in Michigan are hiring for Ai Test Engineer jobs? Cities in Michigan with the most Ai Test Engineer job openings:
Ai Test Engineer jobs near you
Infographic showing various Ai Test Engineer job openings in Michigan as of August 2026, with employment types broken down into 57% Full Time, and 43% Contract. Highlights an 100% In-person job distribution, with an average salary of $80,210 per year, or $38.6 per hour.

AI Software Test Engineer (SDET)

Aquent

Ann Arbor, MI • On-site

$42.06 - $46.73/hr

Temporary

Medical, Dental, Vision, Retirement

Re-posted 7 days ago

Job description

Placement Type:
Temporary
Salary:
$42.06-46.73 Hourly
W2
Start Date:
Jul 13, 2026
Partnering with Aquent, we are excited to connect top talent with a leading organization at the forefront of financial innovation. This institution is dedicated to building secure, reliable, and cutting-edge solutions that empower millions of users to achieve their financial goals. Join a team that is shaping the future of technology within the financial industry, driving impact through advanced engineering and a commitment to excellence.
Are you ready to dive into the exciting world of Artificial Intelligence and make a tangible impact on the next generation of intelligent systems? We are looking for a visionary and hands-on engineer to spearhead the quality assurance of our groundbreaking AI-powered applications, machine learning systems, AI agents, and generative AI solutions. In this pivotal role, you will be instrumental in ensuring that our AI systems are not just innovative, but also reliable, safe, accurate, and performant, directly contributing to the trust and success of our advanced technology initiatives.
Your Impact & Key Responsibilities
As a critical contributor, you will own the end-to-end testing and automation efforts for robust AI solutions. You'll collaborate closely with AI developers, architects, and product teams to guarantee production-quality AI. Your work will directly reduce regression defects, improve confidence in AI model behavior, and enable the safe, scalable delivery of AI-powered features that meet stringent quality, security, and governance requirements. This role offers significant opportunities for innovation and collaboration across diverse teams, directly shaping the reliability and success of cutting-edge AI technologies.
  • Develop and implement comprehensive testing strategies for AI applications, platforms, and services.
  • Validate AI model outputs for accuracy, consistency, reliability, and safety, performing adversarial, negative, and edge-case testing to identify potential failures and hallucinations.
  • Design and execute functional, integration, end-to-end, regression, and performance tests specifically tailored for AI solutions.
  • Create intricate test cases for prompt-driven, agentic, and retrieval-based AI workflows, ensuring robust validation of AI guardrails, business rules, permissions, and governance controls.
  • Build and maintain advanced automated test frameworks and evaluation pipelines for AI responses and workflows, integrating AI testing seamlessly into continuous integration/continuous delivery (CI/CD) pipelines.
  • Implement automated quality scoring and regression detection mechanisms, and create reusable test data, mocks, simulators, and validation frameworks.
  • Test AI agents, workflows, APIs, complex system integrations, and tool-calling capabilities, validating integrations with external systems, data sources, and enterprise services.
  • Verify performance, reliability, scalability, and resiliency of AI workloads, including executing load and stress testing for AI services.
  • Collaborate proactively with software engineers, AI engineers, product owners, architects, and security teams, providing critical quality feedback during design reviews and development.
  • Contribute significantly to test strategy, quality standards, and best practices, and support production readiness reviews and defect triage activities.
  • Contribute to projects such as testing AI chat assistants and copilots, validating AI agent workflows, evaluating retrieval augmented generation (RAG) search quality, automating AI response evaluation frameworks, and performance testing AI services and orchestration platforms.

Must-Have Qualifications
  • Bachelor's degree in Computer Science, Software Engineering, Information Systems, or a related technical field.
  • 3-6 years of experience in software testing, QA automation, or quality engineering.
  • Proven experience developing automated test solutions using Python, Java, JavaScript/TypeScript, or C#.
  • Demonstrated experience with API testing and automation tools.
  • Strong understanding of test automation principles, the Software Development Lifecycle (SDLC), Agile methodologies, and CI/CD pipelines.
  • Experience testing distributed systems, web applications, and APIs.
  • Proficiency in AI Testing concepts including Prompt Testing, Response Evaluation, Hallucination Detection, Agent Workflow Validation, RAG Validation, AI Safety Testing, AI Regression Testing, and AI Benchmarking.
  • Expertise in Quality Engineering practices such as Test Automation, API Testing, Integration Testing, Performance Testing, Load Testing, Security Testing, Defect Analysis, and Root Cause Investigation.
  • Familiarity with industry-standard tools and technologies like Selenium, Playwright, Postman, JUnit / PyTest, GitHub Actions, Jenkins, Docker, and Kubernetes.

Nice-to-Have Qualifications
  • 1-3 years of exposure to AI/ML or Generative AI technologies.
  • Experience testing Generative AI applications, large language model (LLM)-based systems, AI agents, RAG applications, or complex platform integrations.
  • Familiarity with leading AI models and platforms.
  • Experience building evaluation and benchmarking frameworks for AI solutions.
  • Experience testing cloud-native applications on major cloud platforms.
  • Knowledge of responsible AI, AI governance, and AI risk management practices, understanding how AI initiatives align with enterprise governance, risk, privacy, and compliance requirements.

About Aquent Talent
Aquent Talent connects the best talent in marketing, creative, and design with the world's biggest brands.
Our eligible talent get access to amazing benefits like subsidized health, vision, and dental plans, paid sick leave, and retirement plans with a match. We also offer free online training through Aquent Gymnasium. More information on our awesome benefits!
Aquent is an equal-opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, and other legally protected characteristics. We're about creating an inclusive environment-one where different backgrounds, experiences, and perspectives are valued, and everyone can contribute, grow their careers, and thrive.

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