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Generative Ai Testing Jobs in Nevada (NOW HIRING)

Establish department-wide standards for ML system design, code quality, testing, and deployment ... generative AI) to solve complex, ambiguous problems. Unblock yourself and your team when facing ...

Establish department-wide standards for ML system design, code quality, testing, and deployment ... generative AI) to solve complex, ambiguous problems. Unblock yourself and your team when facing ...

Establish department-wide standards for ML system design, code quality, testing, and deployment ... generative AI) to solve complex, ambiguous problems. Unblock yourself and your team when facing ...

Establish department-wide standards for ML system design, code quality, testing, and deployment ... generative AI) to solve complex, ambiguous problems. Unblock yourself and your team when facing ...

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Generative Ai Testing information

What is the difference between Generative Ai Testing vs Data Scientist?

AspectGenerative Ai TestingData Scientist
Required CredentialsKnowledge of AI models, testing tools, programming skillsStatistics, programming, data analysis certifications
Work EnvironmentAI development teams, testing labs, tech companiesResearch labs, tech firms, finance, healthcare
Employer & Industry UsageAI product testing, quality assurance in techData analysis, predictive modeling across industries

Generative Ai Testing focuses on evaluating and validating AI-generated content and models, ensuring quality and accuracy. Data Scientists analyze data, build models, and derive insights. While both roles require programming and AI knowledge, Generative Ai Testing emphasizes testing processes, whereas Data Scientists focus on data analysis and model development.

How much do AI testers get paid?

AI testers, involved in evaluating and validating generative AI models, typically earn salaries ranging from $60,000 to $120,000 annually depending on experience, location, and company size. Entry-level positions may start lower, while experienced testers with specialized skills in machine learning and data analysis can earn higher wages.

Is AI testing a good career?

AI testing, including roles like Generative AI Testing, is a growing field with increasing demand for skills in machine learning, data analysis, and programming. It offers opportunities in tech companies, research labs, and startups, often requiring knowledge of AI frameworks and testing tools. The career can be stable and rewarding for those with technical expertise and an interest in AI development and quality assurance.

What are the key skills and qualifications needed to thrive as a Generative AI Testing Specialist, and why are they important?

To thrive as a Generative AI Testing Specialist, you need a robust understanding of machine learning principles, model evaluation techniques, and a background in computer science or a related field. Familiarity with tools such as Python, TensorFlow, PyTorch, and model evaluation frameworks, as well as experience with automated testing platforms, is typically required. Analytical thinking, attention to detail, and strong communication skills help you identify model weaknesses and collaborate effectively with development teams. These skills are crucial to ensure the reliability, safety, and ethical deployment of generative AI solutions.

What are some common challenges faced when testing generative AI models, and how can I prepare to address them in this role?

Testing generative AI models often involves unique challenges such as evaluating the quality and relevance of generated content, detecting bias or inappropriate outputs, and ensuring model consistency across various prompts. You may work closely with data scientists and engineers to create robust evaluation frameworks and develop automated as well as manual testing strategies. Familiarity with prompt engineering, statistical evaluation techniques, and domain-specific knowledge will help you address these challenges effectively. Proactively staying updated on industry best practices and collaborating with cross-functional teams are key to success in this dynamic field.

What is a $900,000 AI job?

A $900,000 AI job typically refers to high-level roles in artificial intelligence, such as senior machine learning engineers, AI research directors, or executive positions, often requiring advanced skills, extensive experience, and sometimes specialized certifications. These roles usually involve leading AI development projects, strategic planning, and overseeing AI teams in large organizations or tech companies.

How do I become an AI tester?

To become an AI tester, you should have a strong understanding of machine learning concepts, programming skills in languages like Python, and experience with data annotation and model evaluation. Familiarity with AI development tools and testing frameworks, along with attention to detail, is essential for identifying issues in AI systems.

What is Generative AI Testing?

Generative AI Testing refers to the process of evaluating and validating AI systems, particularly those that generate content such as text, images, or code. This type of testing focuses on assessing the accuracy, reliability, fairness, and safety of generative models to ensure they function as intended and avoid producing harmful or biased outputs. Testers use various methods, including automated and manual techniques, to check for issues like hallucinations, inappropriate content, or security vulnerabilities. The goal is to build trust in generative AI systems and ensure they meet quality and ethical standards before deployment.
What job categories do people searching Generative Ai Testing jobs in Nevada look for? The top searched job categories for Generative Ai Testing jobs in Nevada are:
Infographic showing various Generative Ai Testing job openings in Nevada as of June 2026, with employment types broken down into 10% Internship, 71% Full Time, 14% Part Time, and 5% Temporary. Highlights an 80% In-person, 5% Hybrid, and 15% Remote job distribution.
SVP, Chief Information Security Officer

SVP, Chief Information Security Officer

Credit One Bank

Las Vegas, NV • On-site

Full-time

Posted 7 days ago


Job description

Job Summary:
Credit One Bank is a data-driven financial services company based in Las Vegas. They are seeking a Chief Information Security Officer who will be responsible for the Bank’s Information Security Management Program, focusing on governance, risk management, and threat intelligence. The CISO will ensure the security of card members while advancing business capabilities and collaborating with various departments.
Responsibilities:
• Design/improve security practices for existing and new technology capabilities to manage security vulnerabilities, including legacy banking systems, third-party applications, as well as newer architectures (cloud, etc.)
• Overall accountability to develop, implement, and maintain the information and cyber security management program, including security policy, standards, guidelines, and procedures.
• Periodically update the cyber security strategy to incorporate new technology and manage new & emerging threat information
• Manage the information security budget, including roadmap and delivery of security initiatives
• Stay current on technological change to understand the evolving security threat landscape, and ways to manage risks
• Ensure information security compliance with the changing laws and applicable regulations in Banking and Financial Services, including (but not limited to) the Gramm-Leach-Bliley Act Cybersecurity requirements
• Oversee periodic Federal examination, security audits, internal threat hunting, internal & third-party penetration tests, simulations, control testing, and other assurance activities to validate controls.
• Collaborate with adjacent colleagues in Business Continuity Planning, Enterprise Risk Management, Audit, and Physical Security.
• Oversee incident response planning, as well as the investigation of security incidents, including impact analysis, root cause analysis, and recommendations for remediation and control enrichment
• Present regular executive-level reporting on the status and progress of the Information Security Management Program. Create awareness of new & emerging risks and the company’s preparedness
• Hire, manage, and train security team, employees, contractors, and third parties
• Create or curate information security awareness training and communicate best practices and risks to all parts of the business
• Perform other duties as assigned
Qualifications:
Required:
• Bachelor’s Degree in Information Security, Cybersecurity, Computer Science, Computer Engineering, or MIS.
• 10+ years of experience leading teams in information security in a regulated industry, preferably at a high-volume Banking or Financial Services institution, or healthcare.
• 10+ years of experience with information security architecture and enterprise technology such as: Firewalls, SIEM, DLP, VPN, DMZ, MFA, WAF, Intrusion Detection/Prevention, Encryption, Anti-virus, Anti-Malware, SOC operations, forensics, identity management, etc.
• Demonstrated experience in AI governance, AI security, and AI programs within a regulated environment.
• Working knowledge (experienced preferred) of AI/ML and Generative AI security risks and the technical and procedural controls used to manage them.
• CISSP, CISM, or similar professional certification.
• Collaborative and action-oriented management style (big plus is the ability to be hands-on).
• Excellent written and verbal communication skills and high level of personal integrity.
• Innovative thinking and leadership with an ability to find safe and secure solutions for business needs.
• Experience with contract and vendor negotiations and management including managed services.
• Experience in modern software development practices, such as Agile, Waterfall, Rapid, etc.
• Experience with legacy banking systems as well as cloud / elastic computing across virtualized environments, hybrid/multi-cloud infrastructures, and externally managed services.
• Experience implementing security solutions in enterprise, cloud, and hybrid cloud environments.
• Experience with Federal financial institution examination procedures including examination preparation and presentation.
• Excellent understanding of Federal Financial Institutions Examination Council (FFIEC) procedures including information technology and information security guidance.
• Excellent understanding of the Office of the Comptroller of the Currency (OCC) mid-sized bank regulatory guidance (as pertains to information security).
• Excellent understanding of information security standards including ISO 17799/27001/27002, NIST Cybersecurity Framework, the Center for Internet Security, CISA Cross Sector Cybersecurity Performance Goals, Cloud Security Alliance, the Payment Card Industry’s Data Security Standard (PCI-DSS), NIST standards on security and privacy controls, encryption, authentication, cloud computing, NIST frameworks for risk management, including the AI risk management framework.
Preferred:
• Master’s Degree preferred.
Company:
Credit One Bank is a financial services company that offers credit cards, credit score tracking, and fraud protection services. Founded in 1984, the company is headquartered in Las Vegas, USA, with a team of 1001-5000 employees. The company is currently Late Stage.