1

Ai Validation Jobs (NOW HIRING)

AI Validation & Responsible Quality * Define and implement AI validation frameworks, including: * Accuracy and reliability * Bias detection and mitigation * Explainability and transparency * Support ...

AI Analyst - ServiceNow Now Assist

DC ยท Remote

$120K - $160K/yr

AI Validation and Quality Assurance * Evaluate the quality, relevance, and accuracy of AI-generated responses and recommendations. * Develop and execute test cases for: * Prompt effectiveness

General Information

Denver, CO ยท On-site

$145K - $175K/yr

Experience with AI validation, evaluation, observability, and production quality metrics such as accuracy, groundedness, safety, latency, cost, and drift. * Experience deploying ML/AI into production ...

General Information

Denver, CO ยท On-site

$120K - $145K/yr

Experience with AI validation, evaluation, observability, and production quality metrics such as accuracy, groundedness, safety, latency, cost, and drift. * Experience deploying ML/AI into production ...

ASIC Validation Engineer

Saratoga, CA ยท On-site

$185K - $250K/yr

Today's AI performance is frequently limited by communication bottlenecks. Eridu introduces ... The company's solutions and value proposition have been widely validated by leading hyperscalers.

next page

Showing results 1-20

Ai Validation information

See salary details

$22

$51

$78

How much do ai validation jobs pay per hour?

As of Jul 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 job?

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 are some typical responsibilities of an AI Validation professional?

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, and why are they important?

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 June 2026, with employment types broken down into 48% Full Time, 30% Part Time, 9% Temporary, and 13% Contract. Highlights an 95% In-person, and 5% Remote job distribution, with an average salary of $108,152 per year, or $52 per hour.
Manager, AI Quality & Reliability Engineering

Manager, AI Quality & Reliability Engineering

Vizient, Inc.

Edina, MN โ€ข On-site

$88K - $155K/yr

Other

Posted 17 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 establish and scale AI Quality Engineering practices, validation processes, AI-assisted testing approaches, runtime quality controls, and modern testing frameworks that support the 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 and mature AI Quality Engineering practices, including AI-native testing approaches, validation processes, runtime quality controls, reusable testing accelerators, and scalable testing frameworks. 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. Experience supporting AI-powered applications, machine learning solutions, LLM-enabled workflows, intelligent automation, or emerging AI technologies required.

Experience implementing test strategies, validation frameworks, automation solutions, and quality controls across complex enterprise technology environments required. Knowledge of AI Quality Engineering concepts including AI validation, prompt testing, model evaluation, runtime assurance, observability, monitoring, and production reliability required. Experience partnering with cross-functional teams including Engineering, Product, Data, Security, Governance, Clinical, and Operations stakeholders required.

Demonstrated ability to lead testing efforts, manage quality risks, coordinate releases, and support delivery across multiple initiatives required. Strong analytical, problem-solving, and communication skills with the ability to translate technical quality concerns into actionable business recommendations required. Experience within healthcare, payer, provider, or highly regulated industries preferred.

Experience with AI-assisted testing tools, test automation frameworks, observability platforms, and modern software delivery practices preferred. You must be authorized to work in the United States without sponsorship. #LI-JB1 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.