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

As of Jul 23, 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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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.
Principal Enterprise QA Architect, AI Health Cloud

Principal Enterprise QA Architect, AI Health Cloud

BrightSpring Health Services

Louisville, KY • On-site

Full-time

Posted 2 days ago

BrightSpring Health Services rating

4.8

Company rating: 4.8 out of 10

Based on 62 frontline employees who took The Breakroom Quiz

218th of 237 rated social care providers

Job description

Our Company

BrightSpring Health Services

Overview

We are seeking a highly experienced Principal Enterprise QA Architect to define and lead the quality strategy for our AI Health Cloud platform. This is a senior leadership role responsible for architecting enterprise-wide quality engineering, test automation, and validation frameworks across AI/ML platforms, healthcare data pipelines, and cloud-native applications.

You will operate at the intersection of platform architecture, AI/ML systems, and healthcare compliance, ensuring that all solutions-from APIs and microservices to LLM-powered workflows-are highly reliable, secure, explainable, and production-ready.

This role extends beyond traditional QA into Quality Engineering, AI validation, and continuous verification at scale.

Responsibilities
  • Define and lead end-to-end quality architecture across platform, data, AI/ML, and applications
  • Establish enterprise QA standards, frameworks, and governance models
  • Design validation strategies for LLMs, RAG pipelines, vector databases, and agent systems
  • Architect testing strategies for microservices, APIs, and distributed systems
  • Lead development of enterprise automation frameworks
  • Ensure compliance with HIPAA, CMS, NCQA and security standards
  • Collaborate with architects, product, and engineering teams
  • Implement observability-driven quality and continuous improvement
Qualifications
  • 15+ years in QA, Quality Engineering, or Test Architecture
  • Strong experience in cloud-native systems and automation frameworks
  • Experience with AI/ML validation and testing
  • Deep knowledge of healthcare data and interoperability standards
  • Expertise in DevOps, CI/CD, and MLOps
  • Strong leadership and stakeholder management

Preferred Qualifications

  • Experience with LLM validation and Responsible AI
  • Familiarity with RAG, vector databases, and agent frameworks
  • Experience in healthcare quality programs (HEDIS, Stars)
  • Advanced degree in relevant field
About our Line of BusinessBrightSpring Health Services provides complementary home- and community-based health solutions for complex populations in need of specialized and/or chronic care. Through the Company's service lines, including pharmacy, home health care, and rehabilitation, we provide comprehensive and more integrated care and clinical solutions in all 50 states to over 475,000 customers, clients and patients daily. BrightSpring has consistently demonstrated strong and industry-leading quality metrics across its services lines, while improving the health and quality of life for high-need individuals and reducing overall healthcare system costs. For more information, please visit www.brightspringhealth.com. Follow us on Facebook, LinkedIn, and X.Additional Job Information

Success Metrics

  • Platform reliability and defect reduction
  • Improved AI model trust and performance
  • Increased automation coverage and faster releases
  • Strong regulatory compliance

Why Join Us

  • Lead the future of AI quality in healthcare
  • Work with top-tier engineers, clinicians, and AI teams
  • Solve complex AI safety and compliance challenges
  • Competitive compensation and flexible work environment
Employment Type: FULL_TIME

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