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Full Time Ai Validation Jobs (NOW HIRING)

Wayve

Systems Engineer, AI Validation

Sunnyvale, CA · On-site

$209K - $266K/yr

As a Systems Engineer, you will own a core part of the behavior validation for the Wayve AI Driver ... Experience analyzing large datasets with SQL This is a full-time role based in our office in ...

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How much do full time ai validation jobs pay per hour?

As of Jul 24, 2026, the average hourly pay for full time 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 are Full Time AI Validation jobs?

Full Time AI Validation jobs involve testing, evaluating, and verifying artificial intelligence models to ensure they perform accurately and reliably. Professionals in these roles assess AI algorithms for correctness, fairness, and bias, often by creating test datasets and running experiments. They work closely with data scientists and engineers to identify issues, improve model performance, and ensure compliance with industry standards. This role is essential in industries such as technology, healthcare, and finance, where trustworthy AI systems are critical.

What is the difference between Full Time Ai Validation vs Data Annotator?

AspectFull Time Ai ValidationData Annotator
Required CredentialsBasic technical skills, sometimes certifications in AI or data labelingMinimal formal credentials, often on-the-job training
Work EnvironmentOffice or remote, collaborative teams, structured schedulesRemote or on-site, independent work, flexible hours
Industry UsageAI development companies, tech firms, startupsData labeling services, AI training datasets, machine learning projects
Search & Comparison IntentUnderstanding career roles, job requirements, industry differencesEntry-level positions, skill development, job opportunities

Full Time Ai Validation involves verifying and testing AI models to ensure accuracy, often requiring technical skills and collaboration within AI teams. Data Annotators focus on labeling data to train AI systems, typically with minimal formal credentials. Both roles are essential in AI development but differ in responsibilities, work environment, and skill requirements.

What are some common challenges faced by professionals working in full-time AI validation roles?

Professionals in full-time AI validation often encounter challenges such as keeping up with rapidly evolving AI technologies and ensuring that models perform reliably across diverse real-world scenarios. Balancing thorough testing with tight project deadlines can require strong organizational skills, as validation must be both comprehensive and timely. Additionally, collaboration with cross-functional teams—including data scientists, software engineers, and product managers—is essential to address issues and iterate on model improvements effectively. Navigating regulatory requirements and maintaining high ethical standards for bias and fairness can also be demanding but are critical aspects of the role.

What are the key skills and qualifications needed to thrive as a Full Time AI Validation Specialist, and why are they important?

To thrive as a Full Time AI Validation Specialist, you need a solid background in computer science, statistics, and machine learning principles, often supported by a relevant degree. Familiarity with AI development frameworks, data annotation tools, and testing platforms like TensorFlow, PyTorch, or MLflow is typically required. Strong analytical thinking, attention to detail, and effective communication skills help you identify issues and collaborate with developers. These skills ensure robust model performance, compliance with standards, and the successful deployment of reliable AI systems.
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What cities are hiring for Full Time Ai Validation jobs? Cities with the most Full Time Ai Validation job openings:
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Full Time Ai Validation jobs near you
Infographic showing various Full Time Ai Validation job openings in the United States as of July 2026, with employment types broken down into 73% Full Time, 24% Part Time, and 3% Contract. Highlights an 65% Physical, 3% Hybrid, and 32% Remote job distribution, with an average salary of $108,152 per year, or $52 per hour.

Systems Engineer, AI Validation

Wayve

Sunnyvale, CA • On-site

$209K - $266K/yr

Full-time

Posted 20 days ago

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.

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