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Ai Validation Jobs (NOW HIRING)

As a Systems Engineer, you will own a core part of the behavior validation for the Wayve AI Driver, from strategy to implementation and execution. Your contributions will enable the successful ...

The AI Validation Analyst is the technical specialist on the AI Governance Operations team, responsible for executing local validation testing, managing continuous performance monitoring, and ...

This role will lead the development of scalable AI validation, monitoring, and governance capabilities supporting federal mission readiness and responsible AI deployment. The Chief AI Architect will ...

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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.

Systems Engineer, AI Validation

Wayve

Sunnyvale, CA • Hybrid

$209K - $266K/yr

Other

Posted yesterday


Job description

The role 

Wayve's Engineering Validation team builds confidence in the autonomy systems we deliver to product and customer teams. As a Systems Engineer, you will own a core part of the behavior validation for the Wayve AI Driver, from strategy to implementation and execution. Your contributions will enable the successful integration of the AI Driver across a range of autonomy products. This critical work will help the Wayve AI Driver reach millions of customers globally.

Key Responsibilities

  • Develop and implement a comprehensive validation strategy across test modalities for multiple autonomy products.
  • Define and implement general purpose metrics for validating on-road and simulated driving behavior.
  • Define test coverage requirements and build comprehensive test suites.
  • Develop acceptance criteria through collaboration with Product, Safety, and AV Engineering teams.
  • Analyze test results and report findings to Release and Autonomy Engineering stakeholders.
  • Identify data, simulation, and evaluation team dependencies to enable timely, scalable, and automated validation execution.
About You

In order to set you up for success as a Systems Engineer (Senior / Staff), AI Validation at Wayve, we're looking for the following skills and experience. 

Essential
  • 5+ years of experience working on automated driving, robotics, or related product.
  • BSc, MSc, or PhD in Computer Science, Robotics, Aerospace, or a related field.
  • Proficiency in Python to implement metrics and work with evaluation codebase.
  • Deep understanding of driving behavior and how to measure driving performance.
  • Experience with both simulated and and physical testing environments for autonomous systems.
  • Experience analyzing and reporting validation results.
  • Demonstrated ownership driving validation concepts from ideation to implementation in ambiguous, fast-paced environments.
Desirable
  • Experience with modern AI tools and agentic workflows 
  • Experience analyzing large datasets with SQL

This is a full-time role based in our office in Sunnyvale and the reasonably estimated salary for this role ranges from $209,700 to $266,800 plus a competitive equity package. Actual compensation is based on the candidate's skills, qualifications, and experience.

At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. We operate core working hours so you can determine the schedule that works best for you and your team.