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Ai Validation Jobs (NOW HIRING)

Mindlance

Machine Learning Engineer

Cincinnati, OH · On-site

Develop, test, validate, and deploy Machine Learning and Generative AI models in production environments. * Build AI-powered applications using Python and other modern programming technologies.

Apex Systems

AI Quality Engineer

Merrifield, VA · On-site

$68.88 - $90.92/hr

Validate Retrieval-Augmented Generation (RAG) solutions built using Azure AI Search, Azure AI Foundry, LangChain, and LangGraph.* Perform architecture reviews and quality assessments for AI solutions ...

jobr.pro

AI Quality & Validation Specialist

Annandale, VA · On-site

$60 - $80/hr

The AI Quality & Validation Specialist will help validate software functionality, assess the quality and relevance of AI-generated results, document findings, and support scenario-based testing from ...

New

Hp

Embedded AI/ML Developer

Spring, TX · On-site

$117K - $154K/yr

Familiarity with AI validation, automated testing, CI/CD pipelines, model benchmarking, and regression testing for embedded platforms. Embedded Systems and Platform Integration * Strong embedded ...

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Ai Validation information

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$22

$51

$78

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.

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Ai Validation jobs near you
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.

Senior AI Quality Engineer- 7+ yrs- New York, United States- Onsite

iMedhas Consulting Services

Manhattan, NY • On-site

$97K - $132K/yr

Other

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

Job Description :

Job Requirements This India new hire is for a Quality Engineer to support the Claims AI 10.0 Scaling Opportunities (Hemsley AI 10.0 initiative) scaling to E&I UNET, USP, and Disputes.Job DescriptionWe are seeking a highly skilled Quality Engineer to support the validation and quality assurance of AI-driven claims solutions. This role will focus on building strong test strategies, validating AI/ML and automation workflows, and ensuring quality across functional, integration, and end-to-end scenarios. The candidate will work closely with engineering, AI, business, and platform teams to improve quality, reduce defects, and strengthen delivery confidence across multiple Lines of Business.Key ResponsibilitiesDesign and execute quality engineering strategies for Claims AI 10.0 initiatives across PCRB, E&I UNET, USP, and DisputesBuild and maintain functional, integration, regression, and end-to-end test coverage for AI/ML and automation solutionsValidate business workflows, claims logic, and platform integrations across supported Lines of BusinessDevelop and execute test plans for APIs, UI workflows, data processing, and model-driven outputsCollaborate with engineering, AI, and business teams to ensure requirements are testable and well understoodIdentify defects, validate fixes, and improve release confidence before UAT and production deploymentStrengthen test automation, non-production validation, and quality reporting across delivery cyclesSupport responsible AI validation where applicable, including consistency, explainability, and workflow outcome checksContribute to continuous improvement in test processes, coverage, and engineering quality standardsRequired SkillsStrong experience in Quality Engineering, QA automation, or test engineeringExperience with functional, integration, regression, and end-to-end testingExperience validating APIs, workflows, and data-driven systemsStrong understanding of defect management, test planning, and release validationExperience working with engineering teams on automation and AI/ML-enabled solutions is preferredAbility to work effectively across multiple Lines of Business (LOBs)Strong analytical, problem-solving, and communication skillsExperience with test automation tools, validation frameworks, and quality metrics is preferredAdditional DetailsAI Persona: AI Validator / Quality EngineerSite: [Minnetonka- USA]Work Experience 5-7Years

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