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Generative Ai Testing Jobs (NOW HIRING)

Select Minds LLC

AI Testing Architect

Dallas, TX · On-site

$120K - $135K/yr

AI Testing Architect (GenAI / QA Automation) Work Type: Full-Time/Contract Location: Dallas, Texas ... This role focuses on applying Generative AI to improve test coverage, reduce cycle time, and ...

Select Minds LLC

AI Testing Architect

Dallas, TX · On-site

$120K - $135K/yr

AI Testing Architect (GenAI / QA Automation) Work Type: Full-Time/Contract Location: Dallas, Texas ... This role focuses on applying Generative AI to improve test coverage, reduce cycle time, and ...

Aquent

AI Software Test Engineer (SDET)

Ann Arbor, MI · On-site

$42.06 - $46.73/hr

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 ...

Uncountable

Platform Engineer - Generative AI

New York, NY · On-site

$120K - $160K/yr

... tuning/testing behavior) and traditional fullstack development tasks (coding frontends/backends ... Strong interest in Generative AI * Solid computer science and software engineering fundamentals ...

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How much do generative ai testing jobs pay per hour?

As of Jul 21, 2026, the average hourly pay for generative ai testing in the United States is $53.73, according to ZipRecruiter salary data. Most workers in this role earn between $44.23 and $61.54 per hour, depending on experience, location, and employer.

What is the difference between Generative Ai Testing vs Data Scientist?

AspectGenerative Ai TestingData Scientist
Required CredentialsKnowledge of AI models, testing tools, programming skillsStatistics, programming, data analysis certifications
Work EnvironmentAI development teams, testing labs, tech companiesResearch labs, tech firms, finance, healthcare
Employer & Industry UsageAI product testing, quality assurance in techData analysis, predictive modeling across industries

Generative Ai Testing focuses on evaluating and validating AI-generated content and models, ensuring quality and accuracy. Data Scientists analyze data, build models, and derive insights. While both roles require programming and AI knowledge, Generative Ai Testing emphasizes testing processes, whereas Data Scientists focus on data analysis and model development.

How much do AI testers get paid?

AI testers, involved in evaluating and validating generative AI models, typically earn salaries ranging from $60,000 to $120,000 annually depending on experience, location, and company size. Entry-level positions may start lower, while experienced testers with specialized skills in machine learning and data analysis can earn higher wages.

Is AI testing a good career?

AI testing, including roles like Generative AI Testing, is a growing field with increasing demand for skills in machine learning, data analysis, and software quality assurance. It offers opportunities in tech companies, research labs, and startups, often requiring knowledge of AI frameworks and testing tools. The career can be stable and rewarding for those with technical expertise and an interest in AI development.

What are the key skills and qualifications needed to thrive as a Generative AI Testing Specialist, and why are they important?

To thrive as a Generative AI Testing Specialist, you need a robust understanding of machine learning principles, model evaluation techniques, and a background in computer science or a related field. Familiarity with tools such as Python, TensorFlow, PyTorch, and model evaluation frameworks, as well as experience with automated testing platforms, is typically required. Analytical thinking, attention to detail, and strong communication skills help you identify model weaknesses and collaborate effectively with development teams. These skills are crucial to ensure the reliability, safety, and ethical deployment of generative AI solutions.

What is the salary of generative AI tester?

The salary of a generative AI tester typically ranges from $70,000 to $120,000 annually, depending on experience, location, and company size. Entry-level positions may start lower, while experienced testers with specialized skills in AI and machine learning can earn higher salaries. Certifications in AI or related fields can also influence compensation.

What are some common challenges faced when testing generative AI models, and how can I prepare to address them in this role?

Testing generative AI models often involves unique challenges such as evaluating the quality and relevance of generated content, detecting bias or inappropriate outputs, and ensuring model consistency across various prompts. You may work closely with data scientists and engineers to create robust evaluation frameworks and develop automated as well as manual testing strategies. Familiarity with prompt engineering, statistical evaluation techniques, and domain-specific knowledge will help you address these challenges effectively. Proactively staying updated on industry best practices and collaborating with cross-functional teams are key to success in this dynamic field.

How do I become an AI tester?

To become an AI tester, you should have a strong understanding of machine learning concepts, programming skills in languages like Python, and experience with data annotation and model evaluation. Familiarity with AI tools, testing frameworks, and quality assurance processes is also important. Gaining relevant certifications or training in AI and software testing can enhance your qualifications.

What is Generative AI Testing?

Generative AI Testing refers to the process of evaluating and validating AI systems, particularly those that generate content such as text, images, or code. This type of testing focuses on assessing the accuracy, reliability, fairness, and safety of generative models to ensure they function as intended and avoid producing harmful or biased outputs. Testers use various methods, including automated and manual techniques, to check for issues like hallucinations, inappropriate content, or security vulnerabilities. The goal is to build trust in generative AI systems and ensure they meet quality and ethical standards before deployment.
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What cities are hiring for Generative Ai Testing jobs? Cities with the most Generative Ai Testing job openings:
What states have the most Generative Ai Testing jobs? States with the most job openings for Generative Ai Testing jobs include:
What job categories do people searching Generative Ai Testing jobs look for? The top searched job categories for Generative Ai Testing jobs are:
Generative Ai Testing jobs near you
Infographic showing various Generative Ai Testing job openings in the United States as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $111,750 per year, or $53.7 per hour.
Senior Generative AI & Testing Efficiency Developer, Vice President

Senior Generative AI & Testing Efficiency Developer, Vice President

Citi

Tampa, FL • Hybrid

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

This job post has expired today. Applications are no longer accepted.

Job description

Citi, the leading global bank, has approximately 200 million customer accounts and does business in more than 160 countries and jurisdictions. Citi provides consumers, corporations, governments, and institutions with a broad range of financial products and services, including consumer banking and credit, corporate and investment banking, securities brokerage, transaction services, and wealth management.

As a bank with a brain and a soul, Citi creates economic value that is systemically responsible and in our clients’ best interests. As a financial institution that touches every region of the world and every sector that shapes your daily life, our Enterprise Operations & Technology teams are charged with a mission that rivals any large tech company. Our technology solutions are the foundations of everything we do from keeping the bank safe, managing global resources, and providing the technical tools our workers need to be successful to designing our digital architecture and ensuring our platforms provide a first-class customer experience. We reimagine client and partner experiences to deliver excellence through secure, reliable, and efficient services.

Our commitment to diversity includes a workforce that represents the clients we serve from all walks of life, backgrounds, and origins. We foster an environment where the best people want to work. We value and demand respect for others, promote individuals based on merit, and ensure opportunities for personal development are widely available to all. Ideal candidates are innovators with well-rounded backgrounds who bring their authentic selves to work and complement our culture of delivering results with pride. If you are a problem solver who seeks passion in your work, come join us. We’ll enable growth and progress together.

Position Overview:

The Senior Generative AI & Testing Efficiency Developer is a senior-level role responsible for leading the design, development, and implementation of complex application systems. This position partners closely with technology, architecture, QA, and business teams to drive system enhancements, modernize platforms, and deliver high-impact solutions. The role is especially focused on advancing AI-powered and generative AI–driven testing capabilities across the enterprise.

Application Development & Technical Leadership:

  • Lead applications systems analysis, design, and programming activities in alignment with Citi’s enterprise architecture.

  • Partner with multiple management teams to integrate systems, deploy new products, and enable process improvements.

  • Resolve high-impact, complex problems through deep analysis of business processes, system flows, and industry standards.

  • Establish standards for coding, testing, debugging, and implementation.

  • Develop a strong understanding of how architecture, infrastructure, and applications integrate to achieve business goals.

  • Provide technical mentorship and coaching to mid-level developers and analysts; allocate work as needed.

  • Assess and manage risk in all technical and business decisions, ensuring compliance with laws, regulations, internal policies, and ethical standards.

AI‑Driven & Generative AI Testing:

  • Design and implement AI-powered testing solutions, including:

    • AI‑generated test cases

    • Intelligent regression selection

    • Self‑healing automation

    • Automated defect and failure analysis

  • Develop and optimize LLM-based tools for:

    • Test data generation and scenario creation

    • Requirements-to-test traceability

    • Predictive test failure analysis

  • Embed generative AI capabilities into existing automation frameworks (e.g., Selenium, Playwright).

  • Implement advanced GenAI techniques such as prompt engineering and Retrieval‑Augmented Generation (RAG) to enhance testing intelligence.

  • Integrate AI-driven testing accelerators into CI/CD pipelines to reduce cycle time and improve stability.

  • Support deployment, scalability, monitoring, and optimization of AI models in production environments.

  • Contribute to real-time and streaming AI systems that enable continuous testing and rapid feedback loops.

  • Ensure compliance with Responsible AI principles, data privacy requirements, governance standards, and quality controls.

  • Stay current with emerging trends in generative AI and test automation; evangelize best practices across the organization.

  • Mentor junior engineers and QA automation developers on AI-assisted testing methodologies.

Required Technical Skills:

  • Strong hands-on experience with LLM development, fine-tuning, and optimization.

  • Expertise in RAG systems, hybrid search, and vector retrieval.

  • Proficiency with ML frameworks such as PyTorch, TensorFlow, and Keras, including distributed training.

  • Experience with GenAI tools and libraries including LangChain, LlamaIndex, LangGraph, Crew.ai, Autogen, Hugging Face, and cloud GenAI APIs (e.g., OpenAI, Claude, Gemini).

  • Strong understanding of test automation frameworks (Selenium, Playwright).

  • Experience integrating AI capabilities into testing pipelines (AI-generated tests, self-healing scripts, test impact analysis).

  • Solid knowledge of CI/CD systems with a focus on continuous testing.

  • Familiarity with QA methodologies, test strategy, functional and non-functional testing, and quality metrics.

  • Advanced Python skills for automation tooling, data preprocessing, API development, and AI workflows.

  • Experience with containerization and deployment technologies (Docker, Kubernetes).

  • Practical knowledge of model optimization techniques.

  • Strong understanding of AI governance, model guardrails, testing risk frameworks, and Responsible AI practices.

  • Excellent collaboration and communication skills, with the ability to explain AI-driven testing strategies to both technical and non-technical audiences.

  • Analytical, proactive mindset with a passion for experimentation, innovation, and mentoring.

Qualifications:

  • 6+ years of relevant experience in applications development or systems analysis.

  • Extensive experience in systems analysis and software application development.

  • Proven success leading and delivering complex projects.

  • Subject Matter Expert (SME) in at least one area of applications development.

  • Demonstrated leadership, adaptability, and project management skills.

  • Consistently strong written and verbal communication skills.

Education:

  • Bachelor’s degree or equivalent practical experience required.

  • Master’s degree preferred.


This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.

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Job Family Group: Technology

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Job Family:Applications Development

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Time Type:Full time

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Primary Location:Irving Texas United States

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Primary Location Full Time Salary Range:$125,760.00 - $188,640.00


In addition to salary, Citi’s offerings may also include, for eligible employees, discretionary and formulaic incentive and retention awards. Citi offers competitive employee benefits, including: medical, dental & vision coverage; 401(k); life, accident, and disability insurance; and wellness programs. Citi also offers paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays. For additional information regarding Citi employee benefits, please visit citibenefits.com. Available offerings may vary by jurisdiction, job level, and date of hire.

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Most Relevant Skills Please see the requirements listed above.

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Other Relevant Skills Artificial Intelligence (AI), Java (Programming Language), Large Language Models (LLMs), Machine Learning (ML), Playwright (Software), Python (Programming Language), QA Automation, Selenium, Software Development.

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Anticipated Posting Close Date:Jul 22, 2026

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Automated Processing and AI

We use automated processing, including artificial intelligence, for our legitimate business interests (or our reasonable and appropriate business purposes) to identify and align the candidate's skills and abilities with a specific job opening. Additionally, if you so choose, or consent, we can match your skills and abilities to other suitable roles at Citi.

Importantly, all our hiring processes and decisions, including determining your suitability for a role, are conducted, checked, and decided by individuals. Our automated processing and AI do not involve relying on automatic or autonomous decision-making. Please refer to any Jurisdictional Considerations, with specific provisions for your country (where relevant) for further details.

Illinois residents – AI Notice and Right

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Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.

 

If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi.
View Citi’s EEO Policy Statement and the Know Your Rights poster.

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