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Flexible Ai Validation Jobs (NOW HIRING)

Unum Group

AVP, AI Enterprise Architecture

Atlanta, GA · On-site

... flexible AI capabilities that enable rapid delivery of business value. It serves as the bridge ... Oversee model training, validation, and risk assessment (e.g., bias, hallucination) * Define ...

Unum UK

AVP, AI Enterprise Architecture

Atlanta, GA · On-site

... flexible AI capabilities that enable rapid delivery of business value. It serves as the bridge ... Oversee model training, validation, and risk assessment (e.g., bias, hallucination) * Define ...

Robust.ai

Robotics Validation Engineer

San Carlos, CA · On-site

We're looking for a hands-on engineer to support the testing and validation of mobile robotic ... Flexible vacation and sick leave practices. * Paid parental leave. Robust AI fosters a culture of ...

Robust.ai

Robotics Validation Engineer

San Carlos, CA · On-site

We're looking for a hands-on engineer to support the testing and validation of mobile robotic ... Flexible vacation and sick leave practices. * Paid parental leave. Robust AI fosters a culture of ...

Robust.ai

Robotics Validation Engineer

San Carlos, CA · On-site

We're looking for a hands-on engineer to support the testing and validation of mobile robotic ... Flexible vacation and sick leave practices. * Paid parental leave. Robust AI fosters a culture of ...

MRINetwork Jobs

Domain Expert

Independence, KS · Remote

Flexible remote work * Contribute to groundbreaking AI technology * Work on innovative, high-impact ... Validation, Prompt Engineering, Data Analysis, Research, Content Review, Technical Writing ...

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Flexible Ai Validation information

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How much do flexible ai validation jobs pay per hour?

As of Aug 15, 2026, the average hourly pay for flexible 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 a flexible AI validation?

Flexible AI Validators are professionals responsible for evaluating, testing, and verifying the performance and accuracy of artificial intelligence models and systems. Their role often involves working with various data sets, scenarios, and tasks to ensure AI outputs meet quality and ethical standards. They may work on projects ranging from natural language processing to computer vision, adapting to different validation requirements as needed. This job is crucial for improving AI reliability, fairness, and safety across different applications.

How does flexible AI validation typically interact with cross-functional teams during a project?

In a Flexible AI Validation role, you will frequently collaborate with data scientists, software engineers, and product managers to ensure that AI models meet performance and quality standards. Your main responsibilities include reviewing model outputs, providing feedback on accuracy, and suggesting improvements based on real-world data. Effective communication and adaptability are key, as priorities may shift rapidly depending on the project's needs. This role offers valuable exposure to various domains within AI, making it a great stepping stone for career growth in machine learning or AI product management.

What is the difference between Flexible Ai Validation vs Data Analyst?

AspectFlexible Ai ValidationData Analyst
Required CredentialsBasic understanding of AI models, certifications in AI or machine learning helpfulBachelor's degree in statistics, data science, or related field
Work EnvironmentTech companies, AI development teams, remote or office-basedBusiness, finance, healthcare sectors; office or remote
Industry UsageAI validation, quality assurance for AI modelsData interpretation, reporting, and decision support

Flexible Ai Validation focuses on testing and ensuring the accuracy of AI models, often requiring knowledge of AI tools and certifications. Data Analysts interpret data, create reports, and support decision-making. While both roles work with data, Flexible Ai Validation emphasizes AI model validation, whereas Data Analysts focus on data analysis and insights.

What skills and qualifications are needed for flexible AI validation?

To thrive as an AI Validation Specialist, you need a strong background in data analysis, machine learning concepts, and quality assurance, typically supported by a degree in computer science or related field. Experience with annotation tools, model evaluation frameworks, and knowledge of programming languages like Python are commonly required. Attention to detail, critical thinking, and effective communication are vital soft skills for identifying issues and collaborating with development teams. These abilities are crucial to ensure AI systems are accurate, reliable, and aligned with business requirements.
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Flexible Ai Validation jobs near you
Infographic showing various Flexible Ai Validation job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 66% Full Time, 30% Part Time, and 3% Contract. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $108,152 per year, or $52 per hour.

Principal Quality Development Engineer

InterSystems

Boston, MA • On-site

Full-time

Re-posted 12 days ago

Job description

Job Summary:
InterSystems is a creative data technology provider focused on delivering innovative solutions for healthcare and other sectors. The Principal Quality Development Engineer will work within a cross-functional agile team to enhance product quality by developing AI validation methodologies and collaborating on testing strategies to ensure high performance and security of applications.
Responsibilities:
• Develop, maintain, and implement AI validation methodologies and tools to validate non-deterministic AI-enabled applications in alignment with industry best practices.
• Define and standardize non-functional and structural testing strategies to validate application performance, security, and interoperability across various LLM.
• Collaborate with Agile teams in TrakCare and HealthShare to incorporate end-user needs and prioritize testing efforts to deliver work of high caliber.
• Research and maintain up-to-date industry knowledge and developments in the AI space.
• Evaluate and optimize LLM performance, including accuracy, safety, and hallucination detection.
• Identify, evaluate, document, and provide clear reporting of results for configuration testing and optimization.
• Lead the development of AI test strategies and detailed test plans for releases.
• Support QD teams with test design, execution, triage, and reporting practices.
• Perform system management tasks to support testing activities.
• Design and build custom tools for UI, API, and AI/ML validation.
• Provide governance across AI validation activities, operating with managerial and stakeholder oversight.
• Perform other duties as directed by the company from time to time.
Qualifications:
Required:
• Tertiary qualification in Computer Science or related discipline.
• 3+ years professional experience.
• Comprehensive understanding of AI tools’ capabilities and limitations.
• A flexible and adaptable approach to learning and developing new methodology, technologies and software products.
• Possesses intellectual curiosity and have a collaborative and personable demeanor.
• Experience working with interdisciplinary teams.
• Good understanding of the SDLC and software testing principles.
• Technical proficiency in multiple programming languages.
Preferred:
• Qualifications and/or certifications in AI.
• System administration or DevOps experience is advantageous.
Company:
InterSystems is a vendor of software and technology for high-performance database management, integration, and health information systems. Founded in 1978, the company is headquartered in Cambridge, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

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