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Generative Ai Testing Jobs in Ohio (NOW HIRING)

CBTS

Sr. Architect Security - AI.

Cincinnati, OH · On-site

Understanding of how generative AI tools integrate into developer workflows (Copilot, Claude, MCP ... Familiarity with application security testing methodologies (SAST, DAST, SCA) * Understanding of ...

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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 are popular job titles related to Generative Ai Testing jobs in Ohio? For Generative Ai Testing jobs in Ohio, the most frequently searched job titles are:
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What cities in Ohio are hiring for Generative Ai Testing jobs? Cities in Ohio with the most Generative Ai Testing job openings:
Generative Ai Testing jobs near you
Infographic showing various Generative Ai Testing job openings in Ohio as of June 2026, with employment types broken down into 10% Internship, 72% Full Time, 13% Part Time, and 5% Temporary. Highlights an 80% In-person, 5% Hybrid, and 15% Remote job distribution.
Artificial Intelligence Analyst

Artificial Intelligence Analyst

Cincinnati Incorporated

Harrison, OH

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 9 days ago

Job description

Artificial Intelligence Analyst - Harrison, OH (local candidates only) Cincinnati Incorporated is seeking an innovative, solution-driven Intelligent Automation Engineer to drive efficiency and eliminate operational waste through the application of advanced technologies. In this role, you will partner cross-functionally to identify opportunities where automation can deliver meaningful business impact and lead the design, development, and implementation of those solutions. This is an exciting opportunity for someone seeking an Artificial Intelligence Analyst who will apply cutting-edge technologies to streamline work processes and eliminate operational waste.

In this role, you will work with teams from across the organization to identify opportunities, determine where intelligent automation tools, such as autonomous agents, Generative AI, Retrieval-Augmented Generation (RAG), and Vibe Coding, can add the most value and then lead the implementation of those solutions. We proudly support veterans and military families and strongly encourage U.S. military veterans to apply

The skills developed through military service - such as discipline, accountability, teamwork, and problem-solving - translate well into this role and are highly valued at our organization. About Cincinnati Incorporated: Cincinnati Incorporated (CI) has been manufacturing industrial machinery since the late 1890s and remains a respected name in the fabrication industry. Our success is built on a culture of integrity, craftsmanship, innovation, and hard work.

We take pride in our people and offer a competitive, comprehensive benefits package designed to support you both professionally and personally. Why This Role is Exciting: Apply cutting-edge technologies, including AI and automation, to solve real business challenges Partner with cross-functional teams to drive innovation and operational efficiency Build and deploy intelligent automation solutions with measurable business impact Gain exposure to enterprise systems and modern AI frameworks Contribute to a forward-thinking organization embracing digital transformation Position Summary and Purpose: Apply advanced automation and artificial intelligence technologies to streamline business processes, eliminate inefficiencies, and enhance operational performance. This role focuses on identifying high-impact opportunities, designing scalable solutions, and leading the implementation of intelligent automation tools across the organization.

Duties and Responsibilities: AI Roadmap: Evaluate, select, and manage the implementation of AI and other automation solutions. Process Architecture Maps:Map out complex business processes and identify inefficiencies, data silos, and manual bottlenecks that are ripe for automation. Solution Strategy:Identify which tools (AI or otherwise) are best suited for speeding processes.

Estimate the value of the proposed solution based on cost, speed, and reliability. Rapid Prototyping & Deployment:Build and iterate solutions using AI and other development tools to create seamless, automated loops. Data Governance & Security:Ensure that all implementations follow strict data privacy standards and that "hallucinations" or errors are mitigated through robust testing and human checkpoints.

Performance Analytics: Develop dashboards to track automation performance to show the "Before vs. After" in terms of time saved and output quality. Mentor and Coach: Partner with the business' functional experts to increase knowledge and utilization of automation tools.

Lifecycle Management: Provide production-level support for all in-scope solutions Essential Skills, Knowledge, and Behaviors: AI Fluency: Deep understanding of Prompt Engineering, LLM parameters, and the current agentic AI ecosystem. Analytical Mindset:Proven ability to translate messy, manual business processes into clean, structured data flows. Systems Integration:Experience connecting AI to legacy business systems.

A working knowledge of business systems, such as Epicor, and collaboration tools, such as Google Workspace. Development:Proficiency in Python and other languages, familiarity with delivering solutions using Generative AI and other automation tools, and expertise in UX creation. Soft Skills:Team-oriented and skilled in working within a collaborative environment.

Customer service oriented. Self-motivated and self-directed. Bachelor's degree in information technologies related field or equivalent experience.

Physical Demands and Work Environment: The physical demands and work environment characteristics described here are representative of those required to successfully perform the essential functions of this role. Physical Demands: Employee is frequently required to stand, walk, sit, and use hands to handle or feel objects, tools, or controls. The employee may occasionally lift and/or move up to 15 pounds.

Specific vision abilities include close vision, distance vision, color vision, peripheral vision, depth perception, and the ability to adjust focus. Work Environment: The employee may occasionally be exposed to non-air-conditioned temperatures in manufacturing areas, as well as moving mechanical parts, fumes or airborne particles, and vibration. The noise level in the work environment is usually moderate.

EEO Vets/Disabled This role does not offer sponsorship employment benefits. Candidates must be authorized to work in the United States without current or future sponsorship. Benefits Include: Paid Vacations Paid Holidays and Personal Days Medical Insurance (including HSA) Dental Insurance Vision Insurance Accident Insurance Life Insurance (AD&D) Disability Insurance Generous 401(k) Employer Match Flexible Spending Account Tuition Reimbursement Employee Assistance Program Parental Leave Apply.

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