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Ai Qa Analyst Jobs (NOW HIRING)

AI QA Analyst Location: 100% Remote Type: Long-Term Contract Compensation: Negotiable, W-2 or C2C Work Model: Remote - offsite Hours: 40 hours a week Security Clearance: No clearance but must pass ...

AI QA Analyst Location: 100% Remote Type: Long-Term Contract Compensation: Negotiable, W-2 or C2C Work Model: Remote - offsite Hours: 40 hours a week Security Clearance: No clearance but must pass ...

AI QA Analyst Location: 100% Remote Type: Long-Term Contract Compensation: Negotiable, W-2 or C2C Work Model: Remote - offsite Hours: 40 hours a week Security Clearance: No clearance but must pass ...

The use of AI is expected and includes the development of laboratory AI procedures for spreadsheet ... Quality Assurance Analyst capabilities with approximately 1-3 years of experience in the field or ...

Company Description QA analyst to design test cases and test complex JAVA based system. The successful candidate will have actually been a developer at some point in their career. An EXPERIENCED QA ...

QA analyst to design test cases and test complex JAVA based system. The successful candidate will have actually been a developer at some point in their career. An EXPERIENCED QA Analyst is needed to ...

Magellan AI is the all-in-one platform for podcast advertising intelligence, media planning, and ... We're looking for Quality Assurance Analysts to support the growing number of clients using ...

QA Analyst

Boston, MA · On-site +1

QA Analyst - Location : Remote Role Overview The QA Analyst is responsible for ensuring software quality, reliability, and performance. This role involves testing applications, identifying defects ...

NAVA Software solutions is looking for a QA Analyst Details: QA Analyst Location: Whippany NJ - Initially Remote Duration: 6-12 months What You Will Do: * Design and execution of functional test ...

Quality Assurance Analyst ID: 1006 Location: Delmont, PA Department: True Helix More about this job > Description The Quality Assurance Analyst is responsible for the testing phase of the production ...

As a QA Analyst, you will play a central role in ensuring digital products are reliable, intuitive ... We use an AI-powered matching process to ensure your application is reviewed quickly, objectively ...

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Ai Qa Analyst information

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How much do ai qa analyst jobs pay per hour?

As of Aug 22, 2026, the average hourly pay for ai qa analyst in the United States is $40.04, according to ZipRecruiter salary data. Most workers in this role earn between $28.61 and $49.52 per hour, depending on experience, location, and employer.

What is an AI QA analyst?

AI QA Analysts, or Artificial Intelligence Quality Assurance Analysts, are professionals who test and evaluate AI systems to ensure they function as intended. They design test cases, validate data integrity, assess model performance, and identify bugs or biases within AI-driven applications. Their work helps ensure that AI models are accurate, reliable, and meet user requirements before deployment. AI QA Analysts collaborate closely with data scientists, engineers, and developers to continuously improve AI product quality.

How does an AI QA analyst typically collaborate with data scientists and software engineers?

As an AI QA Analyst, you will work closely with both data scientists and software engineers throughout the model development lifecycle. You’ll review model requirements, design and execute test cases to validate model performance, and provide feedback on edge cases or data anomalies. Regular meetings and cross-functional communication are common, ensuring that model outputs meet both technical standards and business objectives. This collaborative environment helps foster a shared understanding of project goals and improves the overall quality of AI solutions.

What are the key skills and qualifications needed to thrive as an AI QA analyst, and why are they important?

To thrive as an AI QA Analyst, you need a solid understanding of software testing principles, programming basics (often Python), and a background in computer science or a related field. Familiarity with QA automation tools (like Selenium or pytest), version control systems, and experience testing AI/ML models are typically required, along with relevant certifications such as ISTQB. Strong analytical thinking, attention to detail, and effective communication skills help you identify issues and convey findings clearly. These competencies are vital to ensure the reliability, fairness, and accuracy of AI-driven products in a rapidly evolving technology landscape.

What is the difference between Ai Qa Analyst vs Data Quality Analyst?

AspectAi Qa AnalystData Quality Analyst
Required CredentialsBachelor's in Computer Science, certifications in AI/QA toolsBachelor's in IT, data management certifications
Work EnvironmentTech companies, AI development teamsData-driven organizations, finance, healthcare
Employer & Industry UsageAI and software testing firmsData management and analytics firms
Common Search & Comparison IntentUnderstanding roles in AI testingData quality assessment roles

The Ai Qa Analyst focuses on testing AI systems and ensuring the quality of AI models, while the Data Quality Analyst concentrates on maintaining the accuracy and integrity of data across systems. Both roles require technical skills and work in data-centric environments, but their primary focus areas differ—AI testing versus data management.

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What cities are hiring for Ai Qa Analyst jobs?

Cities with the most Ai Qa Analyst job openings:

What states have the most Ai Qa Analyst jobs?

States with the most job openings for Ai Qa Analyst jobs include:

Infographic showing various Ai Qa Analyst job openings in the United States as of August 2026, with employment types broken down into 76% Full Time, 21% Part Time, and 3% Contract. Highlights an 64% Physical, 4% Hybrid, and 32% Remote job distribution, with an average salary of $83,275 per year, or $40 per hour.

AI QA Analyst - 100% REMOTE

System One

Washington, DC • Remote

Contractor

Medical, Dental, Vision, Life, Retirement

Posted 19 days ago


Job description

Job Title: AI QA Analyst Location: 100% Remote Type: Long-Term Contract Compensation: Negotiable, W-2 or C2C Work Model: Remote – offsite Hours: 40 hours a week Security Clearance: No clearance but must pass background check which will include credit check

Ideal Candidate Profile A highly technical analyst who understands both modern software engineering and AI systems. This individual can independently assess whether an AI solution is accurate, secure, explainable, compliant, observable, and ready for production. They serve as the organization's independent quality authority for AI-powered solutions and help establish confidence in enterprise AI deployments before release to production.

Responsibilities • Establish and execute quality, validation, certification, and production readiness processes for AI-powered SDLC and enterprise automation solutions • Develop and implement evaluation frameworks measuring accuracy, relevance, groundedness, completeness, hallucination rates, retrieval quality, recommendation quality, and user satisfaction • Validate Retrieval-Augmented Generation (RAG) solutions utilizing Azure AI Search, Azure AI Foundry, LangChain, LangGraph, and enterprise repositories • Perform architecture reviews and quality assessments for AI solutions deployed on Azure services such as Containers, Functions, Databricks, SQL, Cosmos DB • Evaluate AI orchestration workflows including prompt execution, agent routing, tool calling, guardrails, retrieval pipelines, and human-in-the-loop processes • Validate security, governance, auditability, and compliance controls, including integrations with Entra ID, RBAC, managed identities, Key Vault, and data policies • Create production readiness checklists covering observability, monitoring, resiliency, recoverability, and operational support • Analyze traces, logs, metrics, and telemetry data to identify quality concerns and improvement opportunities • Collaborate with development teams for remediation of quality, security, and performance issues before deployment • Generate certification reports, scorecards, dashboards, and executive summaries for leadership review • Drive continuous improvements to validation methodologies, testing strategies, and evaluation frameworks • Lead certification and production readiness reviews for internal developer portals and platform initiatives

Requirements • Bachelor’s Degree in Computer Science, Software Engineering, Data Science, AI, or related field • 5+ years of experience in software quality engineering, platform engineering, software development, or related roles • 2+ years working directly with Generative AI, LLMs, RAG architectures, AI agents, or AI applications • Strong understanding of AI evaluation methodologies including accuracy testing and hallucination detection • Experience with Azure AI Foundry, Azure OpenAI, LangChain, LangGraph, LangSmith, or similar frameworks • Familiarity with cloud-native architectures and Azure services (Container Apps, Functions, Databricks, SQL, Key Vault, Cosmos DB) • Experience supporting enterprise developer platforms and self-service engineering capabilities • Skilled in designing automated test strategies, regression testing, and certification processes • Strong analytical, troubleshooting, and documentation skills • Excellent stakeholder engagement and communication abilities

Preferred Qualifications • Experience building or validating enterprise AI agents and multi-agent systems • Knowledge of AI observability and evaluation platforms like LangSmith • Familiarity with knowledge retrieval solutions, embeddings, and semantic search • Background in AI governance, Responsible AI, and compliance frameworks • Experience working in regulated industries such as healthcare, finance, or insurance • Proficiency with Azure DevOps, GitHub, and SDLC tooling • Knowledge of identity management concepts including Entra ID and RBAC • Ability to produce quality scorecards, dashboards, and KPI reports

System One, and its subsidiaries including Joulé and Mountain Ltd., are leaders in delivering outsourced services and workforce solutions across North America. We help clients get work done more efficiently and economically, without compromising quality. System One not only serves as a valued partner for our clients, but we offer eligible employees health and welfare benefits coverage options including medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as participation in a 401(k) plan.

System One is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, age, national origin, disability, family care or medical leave status, genetic information, veteran status, marital status, or any other characteristic protected by applicable federal, state, or local law.

#M1 #LI-CB3 Ref: #851-Rockville-S1


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About System One

Sourced by ZipRecruiter

System One helps employers get work done more efficiently and economically without compromising quality. Over our 35+ year history, we've helped connect thousands of talented people with innovative companies. The excitement of a perfect fit motivates us every single day.

Industry

Business consulting services and recruiting and staffing services

Company size

5,001 - 10,000 Employees

Headquarters location

Pittsburgh, PA, US