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Generative Ai Testing Jobs in Ohio (NOW HIRING)

Develop and integrate Generative AI/LLM solutions into enterprise applications. * Implement testing and evaluation strategies to assess the quality, accuracy, reliability, and risks of AI-generated ...

Core Generative AI & ML Expertise * Strong understanding of Generative AI models (LLMs, multimodal ... Familiarity with A/B testing , feature flags, and iterative product releases involving AI. Data ...

Senior Machine Learning Engineer

Cincinnati, OH · On-site

$100K - $137K/yr

Develop and deploy Generative AI applications in production environments, preferably within ... Implement CI/CD pipelines, automated testing, model monitoring, observability, and production ...

Experience building, integrating, or supporting AI/ML or generative AI applications. * Understanding of software engineering fundamentals, including application design, testing, debugging, version ...

Senior AI Machine Learning Engineer

Columbus, OH · On-site

$118K - $156K/yr

Support the initial build-out of generative AI and agentic AI solutions, including prompt ... Strong hands-on expertise in Python, SQL, SDLC practices, Git-based development, automated testing ...

Lead AI Platform Engineer

Cincinnati, OH · On-site

$98K - $129K/yr

Job Summary The Lead Engineer (Generative AI) is a senior technical role responsible for designing ... Build and manage CI/CD pipelines supporting automated testing, deployment, and release management

Lead AI Engineer - Observability

Cincinnati, OH · On-site

$98K - $129K/yr

Job Summary The Lead Engineer (Generative AI) is a senior technical role responsible for designing ... Build and manage CI/CD pipelines supporting automated testing, deployment, and release management

Sr. Machine Learning Engineer

Cincinnati, OH · On-site

$100K - $137K/yr

... learning and Generative AI solutions with a focus on reliability, performance, security, and ... testing, model monitoring, observability, and production support processes for machine learning ...

Showing results 21-40

Generative Ai Testing information

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 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 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 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 do I become a Generative AI Testing?

To become a Generative AI Tester, develop skills in machine learning, natural language processing, and programming languages like Python. Gain experience with AI frameworks such as TensorFlow or PyTorch and understand data quality and model evaluation techniques. Relevant certifications and hands-on projects can enhance your qualifications for roles in AI testing environments.

Is Generative AI Testing a good career?

Generative AI Testing is a growing field within AI development, focusing on evaluating the quality and safety of AI-generated content. It requires skills in machine learning, programming, and understanding AI models, often involving tools like Python and TensorFlow. The role offers opportunities in tech companies and research labs, with demand expected to increase as AI applications expand.

What job categories do people searching Generative Ai Testing jobs in Ohio look for?

The top searched job categories for Generative Ai Testing jobs in Ohio are:

What cities in Ohio are hiring for Generative Ai Testing jobs?

Cities in Ohio with the most Generative Ai Testing job openings:

Infographic showing various Generative Ai Testing job openings in Ohio as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 15% Part Time, 5% Contract, and 1% Nights. Highlights an 85% Physical, 2% Hybrid, and 13% Remote job distribution.

AI Design Facilitator and Forward-Deployed Engineer II

Cleveland, OH • On-site

Deloitte
Finance and Insurance • 10K+ employees

$125K - $150K/yr

Full-time

Re-posted 18 days ago


Key responsibilities

  • Shape and lead early-stage product development and incubation projects with rapid prototyping using generative AI tools.

  • Support teams by teaching them to use and implement tools, frameworks, and patterns for rapid prototyping with generative AI.

  • Collaborate with cross-functional teams to design, implement, and validate AI solutions through rapid prototyping and iterative development.


Deloitte rating

8.2

Company rating: 8.2 out of 10

Based on 93 frontline employees who took The Breakroom Quiz

48th of 154 rated financial services


Job description

We are seeking a highly skilled and passionate individual to join our team as an AI Design Facilitator and Forward-Deployed Engineer II - Consultant. This role involves teaching technical AI skills through a design lens, engaging in early-stage engineering work, and incubating innovative products from concept to code. The position will have both client-facing responsibilities and an internal enablement component.

Recruiting for this role ends on October 1, 2026

Work you'll do

In this role, you will be responsible for:

  • Shaping and lead early-stage product development and product incubation projects with a focus on rapid prototyping using cutting edge generative AI tools.
  • Supporting our teams by teaching them to use and implement the tools, frameworks and patterns needed for rapid prototyping with generative AI.
  • Teaching Technical AI Skills: Develop and deliver comprehensive training programs on generative AI technologies, including tools such as GitHub Copilot, Cursor, Replit, Airtable, and platforms like OpenAI, Anthropic, and Gemini. Tailor content to various skill levels and ensure practical, hands-on learning experiences for designers, engineers, and product managers.
  • Bringing a design-forward angle to the program: introducing user research, user testing, and design workshops into how participants approach their problems, so the work isn't only about shipping code but about building the right thing for a real user.
  • Helping shape the FDE approach: working with the team on where and how human-centered design principles fit into the FDE method, from how we frame a problem to how we validate a prototype.
  • Early-Stage Forward-Deployed Engineering: Collaborate with cross-functional teams to design and implement AI solutions for real-world problems. Engage in rapid prototyping and iterative development to validate concepts and refine solutions.
  • Product Incubation: Lead the incubation of new AI products, from ideation to deployment. Work closely with product managers, designers, and engineers to bring innovative ideas to life and ensure successful product launches.
  • Client-Facing and Internal Enablement: Serve as a key point of contact for clients, providing expert guidance and support on AI initiatives. Additionally, enable internal teams by sharing knowledge, best practices, and facilitating collaboration.

A successful candidate would possess these skills:

  • A real design background: user research, user testing, human-centered design, or a closely related discipline, applied to actual project work.
  • Comfort running workshops and facilitating groups, and translating technical material into exercises a mixed audience can follow.
  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships
  • Ability to lead projects or workstreams
  • Excellent problem-solving skills and the ability to work in a fast-paced, dynamic environment.
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines

The Team

Deloitte's Advertising, Marketing & Commerce team creates content and experiences that inspire action. We design and implement technology platforms for personalized marketing across all digital touchpoints, specializing in customer-centric B2B and B2C solutions. Our in-house agency engages customers throughout their journey, working on projects like AdTech, MarTech, campaign automation, CRM, and lead-to-loyalty orchestration. Join us to drive impactful customer interactions and business growth.

Qualifications

Required

  • Bachelor's degree.
  • 1+ years experience in user research, user experience design, human-centered design, or a closely related design discipline.
  • 1+ years experience with generative AI tools for software development, user experience, design, and product management.
  • Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future
  • Ability to travel up to 50% on average based on the work you do and the clients and industries/sectors you serve

Preferred

  • Experience with Design and GenAI Software such as Figma, Abobe Creative Suite, Claude Code, Codex
  • Knowledge of Design best practices and methodologies.
  • Knowledge of software development best practices and agile methodologies.
  • Familiarity with product management and user experience design principles.
  • Experience using AI systems in the design process (e.g., AI-assisted research, prototyping, or design workflows).

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $82,600 to $162,800. 

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

#Customer_US

#AMC_US

Qualifications:

We are seeking a highly skilled and passionate individual to join our team as an AI Design Facilitator and Forward-Deployed Engineer II - Consultant. This role involves teaching technical AI skills through a design lens, engaging in early-stage engineering work, and incubating innovative products from concept to code. The position will have both client-facing responsibilities and an internal enablement component.

Recruiting for this role ends on October 1, 2026

Work you'll do

In this role, you will be responsible for:

  • Shaping and lead early-stage product development and product incubation projects with a focus on rapid prototyping using cutting edge generative AI tools.
  • Supporting our teams by teaching them to use and implement the tools, frameworks and patterns needed for rapid prototyping with generative AI.
  • Teaching Technical AI Skills: Develop and deliver comprehensive training programs on generative AI technologies, including tools such as GitHub Copilot, Cursor, Replit, Airtable, and platforms like OpenAI, Anthropic, and Gemini. Tailor content to various skill levels and ensure practical, hands-on learning experiences for designers, engineers, and product managers.
  • Bringing a design-forward angle to the program: introducing user research, user testing, and design workshops into how participants approach their problems, so the work isn't only about shipping code but about building the right thing for a real user.
  • Helping shape the FDE approach: working with the team on where and how human-centered design principles fit into the FDE method, from how we frame a problem to how we validate a prototype.
  • Early-Stage Forward-Deployed Engineering: Collaborate with cross-functional teams to design and implement AI solutions for real-world problems. Engage in rapid prototyping and iterative development to validate concepts and refine solutions.
  • Product Incubation: Lead the incubation of new AI products, from ideation to deployment. Work closely with product managers, designers, and engineers to bring innovative ideas to life and ensure successful product launches.
  • Client-Facing and Internal Enablement: Serve as a key point of contact for clients, providing expert guidance and support on AI initiatives. Additionally, enable internal teams by sharing knowledge, best practices, and facilitating collaboration.

A successful candidate would possess these skills:

  • A real design background: user research, user testing, human-centered design, or a closely related discipline, applied to actual project work.
  • Comfort running workshops and facilitating groups, and translating technical material into exercises a mixed audience can follow.
  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships
  • Ability to lead projects or workstreams
  • Excellent problem-solving skills and the ability to work in a fast-paced, dynamic environment.
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines

The Team

Deloitte's Advertising, Marketing & Commerce team creates content and experiences that inspire action. We design and implement technology platforms for personalized marketing across all digital touchpoints, specializing in customer-centric B2B and B2C solutions. Our in-house agency engages customers throughout their journey, working on projects like AdTech, MarTech, campaign automation, CRM, and lead-to-loyalty orchestration. Join us to drive impactful customer interactions and business growth.

Qualifications

Required

  • Bachelor's degree.
  • 1+ years experience in user research, user experience design, human-centered design, or a closely related design discipline.
  • 1+ years experience with generative AI tools for software development, user experience, design, and product management.
  • Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future
  • Ability to travel up to 50% on average based on the work you do and the clients and industries/sectors you serve

Preferred

  • Experience with Design and GenAI Software such as Figma, Abobe Creative Suite, Claude Code, Codex
  • Knowledge of Design best practices and methodologies.
  • Knowledge of software development best practices and agile methodologies.
  • Familiarity with product management and user experience design principles.
  • Experience using AI systems in the design process (e.g., AI-assisted research, prototyping, or design workflows).

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $82,600 to $162,800. 

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

#Customer_US

#AMC_US

Education:Bachelor's DegreeEmployment Type:

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