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Ai Validation Jobs (NOW HIRING)

Wayve

Systems Engineer, AI Validation

Sunnyvale, CA · Hybrid

$209K - $266K/yr

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 ...

Alphatec Spine

Senior AI Validation Scientist

Carlsbad, CA · On-site

$130K - $155K/yr

The Senior AI Validation Scientist is responsible for leading validation activities for AI/ML-enabled software and software-driven medical device systems across new product development and sustaining ...

AMA CONSULTING LLC.

Chief AI Architect

Lanham, MD · On-site

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 ...

Hearst

Director, Quality Assurance

Tampa, FL · Hybrid

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

Hearst

Director, Quality Assurance

Tampa, FL · Hybrid

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

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How much do ai validation jobs pay per hour?

As of Jun 11, 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.

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Ai Validation jobs near you
Infographic showing various Ai Validation job openings in the United States as of June 2026, with employment types broken down into 92% Full Time, 4% Part Time, and 4% Contract. Highlights an 66% Physical, 4% Hybrid, and 30% Remote job distribution, with an average salary of $108,152 per year, or $52 per hour.
Senior AI Validation Scientist

Senior AI Validation Scientist

Alphatec Spine

Carlsbad, CA • On-site

Other

Posted 4 days ago

Job description

The Senior AI Validation Scientist is responsible for leading validation activities for AI/ML-enabled software and software-driven medical device systems across new product development and sustaining engineering. Under minimal supervision, this role provides senior-level technical expertise in AI model validation, data governance, risk management, and regulatory compliance, ensuring AI-enabled medical devices meet FDA and international regulatory requirements throughout the total product lifecycle.

This role works cross-functionally with Quality Engineering, R&D, Data Science, Clinical, Product Development, and Regulatory Affairs to ensure scientific rigor, transparency, bias mitigation, and traceability in AI/ML system validation.

Essential Duties and Responsibilities

  • Lead verification and validation activities for ATEC AI/ML-enabled software
  • Develop AI validation plans, protocols and test strategies
  • Design and curate validation data set, develop ground truthing methods and create ground truth data
  • Define performance metrics, acceptance criteria, and statistical methods aligned with intended use.
  • Conduct performance validation studies, including statistical analysis and data processing, and create study reports
  • Assess and document model limitations, bias risks, and data representativeness.
  • Oversee validation-related data management, including dataset independence and training/validation/test separation.
  • Support risk management activities per ISO 14971, including AI-specific hazards and failure modes.
  • Prepare and review Computer Software Validation (CSV) documentation per FDA guidance.
  • Contribute AI/ML validation content to FDA submissions (510(k), De Novo, PMA)
  • Collaborate cross-functionally to ensure regulatory readiness and provide technical guidance to other departments.
  • Other duties asassigned.

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