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Ai Validation Jobs (NOW HIRING)

The role Wayve's AI Validation Division builds trust in the Wayve AI Driver for our customers. As a Staff Validation Engineer, you will lead the development, execution, and reporting of validation ...

The role Wayve's AI Validation Division builds trust in the Wayve AI Driver for our customers. As a Staff Validation Engineer, you will lead the development, execution, and reporting of validation ...

AI Quality Engineer / Lead

Chicago, IL · On-site

$74K - $95K/yr

Lead AI validation activities including functional testing, prompt validation, workflow testing, regression testing, release validation, runtime quality assurance, and production reliability support.

Senior AI Quality & Reliability Engineer

Chicago, IL · On-site

$91K - $123K/yr

You will design and implement AI Quality Engineering practices, AI validation processes, AI-assisted testing approaches, runtime quality controls, and scalable testing frameworks that support the ...

Senior AI Quality & Reliability Engineer

Irving, TX · On-site

$84K - $114K/yr

You will design and implement AI Quality Engineering practices, AI validation processes, AI-assisted testing approaches, runtime quality controls, and scalable testing frameworks that support the ...

Showing results 21-40

Ai Validation information

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How much do ai validation jobs pay per hour?

As of Sep 5, 2026, the average hourly pay for ai validation in the United States is $52.00, according to ZipRecruiter salary data. Most workers in this role earn between $39.42 and $63.22 per hour, depending on experience, location, and employer.

What is an AI validation?

An AI Validation job involves testing and verifying artificial intelligence models to ensure they function correctly, reliably, and ethically. This includes evaluating model accuracy, bias, robustness, and compliance with industry standards. AI validation specialists use various techniques such as data validation, performance testing, and adversarial testing to assess AI systems. Their work helps improve model quality, mitigate risks, and ensure AI applications are safe for real-world deployment.

What does an AI validation do?

An AI Validation professional is responsible for evaluating the performance, reliability, and safety of AI models before deployment. This includes designing and executing test cases, analyzing outputs for bias and errors, and documenting results to inform further model refinement. They often collaborate closely with data scientists, engineers, and QA teams to ensure the AI system meets quality and compliance standards. Day-to-day tasks may involve working with datasets, preparing validation reports, and participating in cross-functional review meetings. This role is critical in ensuring that AI systems function as intended in real-world applications.

What are the key skills and qualifications needed to thrive in the AI validation position?

To thrive in AI Validation, you need strong analytical skills, familiarity with machine learning concepts, and typically a degree in computer science, data science, or a related field. Experience with tools such as Python, TensorFlow, PyTorch, and version control systems, as well as knowledge of data annotation and model evaluation frameworks, is highly valuable. Excellent attention to detail, problem-solving skills, and effective communication are important soft skills for success in this role. These competencies are essential to ensure that AI models are robust, accurate, and meet project requirements for deployment.

What cities are hiring for Ai Validation jobs?

Cities with the most Ai Validation job openings:

What are the most commonly searched types of Ai Validation jobs?

The most popular types of Ai Validation jobs are:

What states have the most Ai Validation jobs?

States with the most job openings for Ai Validation jobs include:

Infographic showing various Ai Validation job openings in the United States as of August 2026, with employment types broken down into 62% Full Time, 5% Temporary, and 33% Contract. Highlights an 81% In-person, 5% Hybrid, and 14% Remote job distribution, with an average salary of $108,152 per year, or $52 per hour.

Lead, AI Quality & Reliability Engineering

Vizient

Minneapolis, MN • On-site

$88K - $155K/yr

Full-time

Re-posted 18 days ago


Job description

When you're the best, we're the best. We instill an environment where employees feel engaged, satisfied and able to contribute their unique skills and talents while living and working as their authentic selves. We provide extensive opportunities for personal and professional development, building both employee competence and organizational capability to fuel exceptional performance through an inclusive environment both now and in the future.

Summary

In this role, you will lead the day-to-day execution and delivery of AI Quality Engineering initiatives supporting Vizient's enterprise AI transformation efforts. You will help ehelp implement AI Quality Engineering practices, AI validation processes, AI-assisted testing approaches, runtime quality controls, and scalable testing frameworks supporting responsible deployment of AI-powered business solutions. This role combines hands-on quality engineering leadership, AI-enabled testing modernization, healthcare workflow validation, team leadership, and cross-functional delivery coordination to ensure the reliability, performance, and governance of AI-enabled systems.

Responsibilities

  • Lead day-to-day AI Quality Engineering activities supporting AI-powered applications, LLM-enabled workflows, intelligent automation solutions, agentic systems, and enterprise AI platforms.
  • Implement AI Quality Engineering practices, including AI-native testing approaches, validation processes, runtime quality controls, reusable testing accelerators, and scalable testing workflows.
  • Coordinate AI validation efforts, including functional testing, prompt testing, workflow validation, regression testing, defect management, release readiness, and production quality assurance.
  • Partner with AI Engineering, AIOps, LLMOps, Security, Governance, Clinical, Data, and Product teams to ensure scalable and effective quality engineering processes across AI initiatives.
  • Support runtime quality and reliability through observability, monitoring, telemetry analysis, incident support, drift detection, distributed tracing, and continuous improvement initiatives.
  • Drive adoption of AI-assisted testing, intelligent automation, reusable test assets, and modern quality engineering practices that improve efficiency and quality outcomes.
  • Lead delivery coordination activities including sprint execution, testing planning, issue tracking, risk identification, dependency management, and release support.
  • Collaborate with clinical, operational, and engineering stakeholders to validate healthcare workflows, payer operations, and AI-enabled business processes while supporting responsible AI deployment.
  • Mentor quality engineers, analysts, contractors, and delivery teams while fostering a culture of continuous learning, engineering excellence, and operational accountability.

Qualifications

  • Bachelor's degree in Computer Science, Information Systems, Engineering, or related field preferred.
  • 7 or more years of experience in Quality Engineering, Software Testing, Quality Assurance, or related technology disciplines required.
  • 1 or more years of experience supporting AI Quality Engineering, AI testing, AI validation, AI-enabled automation, or modern AI engineering initiatives preferred.
  • Strong experience supporting Quality Engineering or Quality Assurance activities across enterprise platforms, APIs, operational workflows, healthcare applications, or integrated business systems required.
  • Experience with enterprise testing practices, test automation frameworks, SDLC methodologies, Agile delivery models, defect management, release validation, and production support coordination required.
  • Strong analytical, organizational, communication, collaboration, and leadership skills required.
  • Ability to manage multiple priorities within fast-paced, evolving, and highly collaborative enterprise environments required.
  • Experience with Python, APIs, automation frameworks, AI-enabled workflows, or modern software engineering practices preferred.
  • Experience supporting AI/ML platforms, orchestration frameworks, runtime monitoring, observability tooling, or AI operational support processes preferred.
  • Familiarity with AI-assisted testing, AI evaluation approaches, prompt testing, runtime observability, operational monitoring, drift detection, or AI operational assurance practices preferred.
  • Experience supporting enterprise modernization or transformation initiatives involving AI, automation, or operational scaling preferred.

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Estimated Hiring Range:

At Vizient, we consider skills, experience, and organizational needs in our compensation approach. Geographic factors may adjust the range estimate and hires typically fall below the top range. Compensation decisions are tailored to individual circumstances. The current salary range for this role is $88,900.00 to $155,500.00.

This position is also incentive eligible.

Vizient has a comprehensive benefits plan! Please view our benefits here:

http://www.vizientinc.com/about-us/careers

Equal Opportunity Employer: Females/Minorities/Veterans/Individuals with Disabilities

The Company is committed to equal employment opportunity to all employees and applicants without regard to race, religion, color, gender identity, ethnicity, age, national origin, sexual orientation, disability status, veteran status or any other category protected by applicable law.