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Ai Tester Jobs (NOW HIRING)

AI testing and evaluation * Model deployment and monitoring * Operational sustainment and optimization Develop and mature AI evaluation and testing methodologies, including: * Traditional ML ...

AI Engineer

Atlanta, GA · On-site

$69K - $89K/yr

LLM testing and AI quality assurance * RAG, vector databases, semantic search, and embeddings * AI evaluation and observability * Python and SQL * REST APIs, JSON, and Postman * Test automation ...

AI testing and evaluation * Model deployment and monitoring * Operational sustainment and optimization Develop and mature AI evaluation and testing methodologies, including: * Traditional ML ...

AI Agentic Tester Location: Denver, CO Skills: QA/Test Engineering experience Must have- Experience testing Generative AI, LLM, or AI-based applications. Keyword: Skills: Modern Functional Quality ...

We pioneer and scale testing programs, streamlining the launch of trustworthy, novel AI products. Work spans from designing first-of-their-kind evaluations for Google's most ambitious product bets ...

Understanding of modern AI architectures, including: * Experience performing manual application security testing beyond automated scanning * Strong understanding of web application security ...

Understanding of modern AI architectures, including: * Experience performing manual application security testing beyond automated scanning * Strong understanding of web application security ...

QA Analyst/Tester

$100K - $130K/yr

Evaluate and apply emerging AI-powered testing tools to automate and accelerate QA operations * Create, execute, and maintain detailed test plans, test cases, and test data * Identify, document, and ...

Develop AI testing, evaluation, and performance optimization frameworks. * Automate deployments using Azure DevOps, GitHub Actions, and IaC tools. * Ensure compliance with security and Responsible AI ...

Candidates should be able to drive automation and AI into testing objectives (e.g., using OSP Zap, Burt Suite, or Nmap) to create an assisted workflow for security engineers. Candidates will ...

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How much do ai tester jobs pay per hour?

As of Aug 14, 2026, the average hourly pay for ai tester in the United States is $38.36, according to ZipRecruiter salary data. Most workers in this role earn between $21.39 and $50.72 per hour, depending on experience, location, and employer.

Can I get an AI Tester job with no experience?

Entry-level AI Tester positions often do not require prior experience, but having basic knowledge of programming, testing tools, and AI concepts can improve your chances. Many employers offer training or consider candidates with relevant skills from related fields such as software testing or data analysis.

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

To thrive as an AI Tester, you need a background in computer science, experience with software testing methodologies, and a solid understanding of artificial intelligence technologies. Familiarity with testing tools (such as Selenium, Jupyter notebooks, or TensorFlow testing frameworks), programming languages like Python, and relevant certifications (e.g., ISTQB) are highly advantageous. Attention to detail, problem-solving abilities, and strong communication skills help AI Testers identify and articulate issues effectively. These skills ensure AI systems are reliable, accurate, and deliver expected outcomes in real-world applications.

What is an AI tester?

An AI Tester is responsible for evaluating artificial intelligence systems to ensure they function correctly, efficiently, and ethically. They design and execute test cases, identify flaws or biases, and verify that AI models meet performance standards. AI Testers work with developers and data scientists to improve AI reliability and user experience. Their role is crucial in preventing errors, reducing risks, and ensuring AI models make accurate and fair decisions.

How do I become an AI tester?

To become an AI tester, you should have a strong understanding of software testing principles, programming skills in languages like Python or Java, and familiarity with AI and machine learning concepts. Gaining experience with testing tools, data annotation, and quality assurance processes can also be beneficial. Certifications in software testing or AI-related fields can enhance your qualifications.

How much do AI testers make?

AI testers typically earn between $50,000 and $100,000 annually, depending on experience, location, and the complexity of the projects. Entry-level positions may start lower, while experienced testers with skills in automation tools and programming can earn higher salaries.

What are some typical challenges faced by AI testers in their daily work?

AI Testers often encounter challenges such as managing and testing large, complex datasets, handling rapidly evolving algorithms, and ensuring consistent test coverage across various real-world scenarios. They must also validate that AI models are free from bias and produce accurate, reproducible results under different conditions. Overcoming these challenges requires both technical proficiency and adaptability. Collaboration with data scientists, developers, and product managers is common, and testers frequently update their testing approaches to keep pace with the fast changes in AI technology.

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Infographic showing various Ai Tester job openings in the United States as of August 2026, with employment types broken down into 38% Full Time, and 62% Contract. Highlights an 100% In-person job distribution, with an average salary of $79,791 per year, or $38.4 per hour.

Mid-Level AI Software Test Engineer

Apex Systems

Ann Arbor, MI • On-site

Other

Medical, Dental, Vision, Life, Retirement

Re-posted 3 days ago


Job description

Job#: 3041034
Job Description:
Mid-Level AI Software Test Engineer
Position Summary
We are seeking a Mid-Level AI Software Test Engineer to lead the quality assurance, validation, and automation efforts for AI-powered applications, machine learning systems, AI agents, copilots, and generative AI solutions. This role combines traditional software quality engineering practices with emerging AI testing methodologies to ensure AI systems are accurate, reliable, secure, scalable, and production-ready.
The ideal candidate has a strong foundation in software testing and automation, along with experience or exposure to AI technologies such as Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI agents, Model Context Protocol (MCP) integrations, and machine learning platforms. This role plays a critical part in establishing AI quality standards, evaluation frameworks, governance controls, and automated testing capabilities across the AI development lifecycle.
Professional Experience:
  • 3-6 years of software quality engineering, QA automation, or software testing experience.
  • 1-3 years of experience or practical exposure to AI, machine learning, or generative AI technologies preferred

Work Style:
This role is expected to operate with moderate independence, owning AI testing initiatives from planning through execution while collaborating closely with engineers, architects, product teams, and stakeholders to deliver high-quality AI solutions.
Mid-Level AI Software Test Engineer
(Also known as: AI Quality Engineer, Generative AI Test Engineer, AI Automation Engineer, AI Validation Engineer, SDET-AI)
Key Responsibilities
AI Quality Engineering
  • Develop and execute comprehensive testing strategies for AI applications, platforms, and services.
  • Validate AI-generated outputs for accuracy, consistency, relevance, reliability, and safety.
  • Design and perform functional, integration, end-to-end, regression, and performance testing for AI-powered solutions.
  • Create and maintain test cases for prompt-driven applications, AI agents, RAG systems, and workflow orchestration platforms.
  • Validate AI guardrails, business rules, permissions models, compliance requirements, and governance controls.
  • Conduct adversarial, negative, and edge-case testing to identify hallucinations, unsafe behavior, model drift, and failure scenarios.
  • Establish quality benchmarks and acceptance criteria for AI solutions.

Test Automation & Evaluation
  • Design, build, and maintain automated test frameworks for AI applications and services.
  • Develop automated evaluation pipelines to assess AI responses, workflows, and model behavior.
  • Integrate AI testing processes into CI/CD pipelines.
  • Implement automated quality scoring, benchmarking, and regression detection capabilities.
  • Create reusable test datasets, simulators, mocks, and validation frameworks to support scalable testing.

Platform & Integration Testing
  • Test AI agents, copilots, APIs, workflow engines, MCP integrations, and tool-calling capabilities.
  • Validate integrations with enterprise systems, external APIs, databases, and knowledge repositories.
  • Verify performance, reliability, scalability, resiliency, and availability of AI workloads.
  • Execute load, stress, and performance testing for AI applications and services.
  • Identify, document, and troubleshoot defects across application, infrastructure, model, and integration layers.

Collaboration & Continuous Improvement
  • Partner closely with software engineers, AI engineers, solution architects, product owners, and security teams.
  • Participate in solution design reviews and provide quality-related recommendations early in the development lifecycle.
  • Contribute to testing standards, methodologies, best practices, and AI quality frameworks.
  • Support production readiness reviews, defect triage, root cause analysis, and continuous improvement initiatives.
  • Promote responsible AI practices and help ensure alignment with organizational governance, privacy, risk, and compliance requirements.

Required Qualifications
  • Bachelor's degree in Computer Science, Software Engineering, Information Systems, or a related technical field.
  • 3-6 years of experience in software testing, quality assurance, quality engineering, or test automation.
  • Experience developing automated testing solutions using one or more of the following:
    • Python
    • Java
    • JavaScript / TypeScript
    • C#
  • Experience with API testing and automation frameworks.
  • Strong understanding of:
    • Test automation methodologies
    • Software Development Lifecycle (SDLC)
    • Agile development practices
    • CI/CD pipelines and DevOps principles
  • Experience testing distributed systems, web applications, APIs, and enterprise platforms.
  • Strong analytical, troubleshooting, and problem-solving skills.
  • Excellent verbal and written communication skills.

Preferred Qualifications
  • Experience testing:
    • Generative AI applications
    • LLM-based systems
    • AI agents and autonomous workflows
    • Retrieval-Augmented Generation (RAG) solutions
    • MCP-based integrations
  • Familiarity with leading AI platforms and models, including:
    • OpenAI
    • Azure OpenAI
    • Anthropic Claude
    • Google Gemini
  • Experience developing AI evaluation, benchmarking, and validation frameworks.
  • Experience testing cloud-native applications on:
    • Microsoft Azure
    • Amazon Web Services (AWS)
    • Google Cloud Platform (Google Cloud Platform)
  • Knowledge of:
    • Responsible AI principles
    • AI governance frameworks
    • AI risk management and compliance practices
    • Privacy and security considerations for AI systems

EEO Employer
Apex Systems is an equal opportunity employer. We do not discriminate or allow discrimination on the basis of race, color, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), age, sexual orientation, gender identity, national origin, ancestry, citizenship, genetic information, registered domestic partner status, marital status, disability, status as a crime victim, protected veteran status, political affiliation, union membership, or any other characteristic protected by law. Apex will consider qualified applicants with criminal histories in a manner consistent with the requirements of applicable law. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation in using our website for a search or application, please contact our Employee Services Department at or .
Everforth Apex is a world-class IT services company that serves thousands of clients across the globe. When you join Everforth Apex, you become part of a team that values innovation, collaboration, and continuous learning. We offer quality career resources, training, certifications, development opportunities, and a comprehensive benefits package. Our commitment to excellence is reflected in many awards, including ClearlyRateds Best of Staffing in Talent Satisfaction in the United States and Great Place to Work in the United Kingdom and Mexico.
Everforth Apex uses a virtual recruiter as part of the application process. Click for more details. By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Everforth Apex and its affiliates, and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy at
Everforth Apex Benefits Overview: Everforth Apex offers a range of supplemental benefits, including medical, dental, vision, life, disability, and other insurance plans that offer an optional layer of financial protection. We offer an ESPP (employee stock purchase program) and a 401K program which allows you to contribute typically within 30 days of starting, with a company match after 12 months of tenure. Everforth Apex also offers a HSA (Health Savings Account on the HDHP plan), a SupportLinc Employee Assistance Program (EAP) with up to 8 free counseling sessions, a corporate discount savings program and other discounts. In terms of professional development, Everforth Apex hosts an on-demand training program, provides access to certification prep and a library of technical and leadership courses/books/seminars once you have 6+ months of tenure, and certification discounts and other perks to associations that include CompTIA and IIBA. Everforth Apex has a dedicated customer service team for our Consultants that can address questions around benefits and other resources, as well as a certified Career Coach. You can access a full list of our benefits, programs, support teams and resources within our 'Welcome Packet' as well, which an Everforth Apex team member can provide.
Everforth Apex Systems is an equal opportunity employer. We do not discriminate or allow discrimination on the basis of race, color, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), age, sexual orientation, gender identity, national origin, ancestry, citizenship, genetic information, registered domestic partner status, marital status, disability, status as a crime victim, protected veteran status, political affiliation, union membership, or any other characteristic protected by law. Everforth Apex will consider qualified applicants with criminal histories in a manner consistent with the requirements of applicable law.
If you require an accommodation under the Americans with Disabilities Act to participate in an interview with a virtual recruiter or to use our website for a search or application, please contact our Benefits Department at or . Please note that this contact information is strictly to be used for medical ADA accommodations and that no other inquiries will be answered.
UnitedHealthcare creates and publishes the Transparency in Coverage Machine-Readable Files on behalf of Everforth Apex Systems.