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Generative Ai Testing Jobs in Ohio (NOW HIRING)

The AI Engineer will design, develop, and operationalize Generative AI (GenAI) and Large Language ... Coordinate user acceptance testing, collect structured feedback, and incorporate operational ...

Develop, test and deploy complex prompts, prompt chains, workflows, and automation to improve the accuracy, consistency, and usability of generative AI outputs. * Conduct prompt testing and quality ...

Develop, test and deploy complex prompts, prompt chains, workflows, and automation to improve the accuracy, consistency, and usability of generative AI outputs. * Conduct prompt testing and quality ...

Develop, test and deploy complex prompts, prompt chains, workflows, and automation to improve the accuracy, consistency, and usability of generative AI outputs. * Conduct prompt testing and quality ...

Develop, test and deploy complex prompts, prompt chains, workflows, and automation to improve the accuracy, consistency, and usability of generative AI outputs. * Conduct prompt testing and quality ...

Implement guardrail frameworks and safety controls for agentic and generative AI workloads to ... Knowledge of MLOps practices including model versioning, A/B testing, canary deployments, and ...

Use generative AI tools to automate routine tasks, accelerate development, and improve productivity ... Perform basic testing (unit/integration) and help reduce defects * Collaborate with team members ...

Data Engineer

Cincinnati, OH · On-site

$109K - $131K/yr

Use generative AI tools to automate routine tasks, accelerate development, and improve productivity ... Perform basic unit and integration testing and help reduce defects. * Collaborate with team members ...

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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 software quality assurance. 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.

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 salary of generative AI tester?

The salary of a generative AI tester typically ranges from $70,000 to $120,000 annually, depending on experience, location, and company size. Entry-level positions may start lower, while experienced testers with specialized skills in AI and machine learning can earn higher salaries. Certifications in AI or related fields can also influence compensation.

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.

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 tools, testing frameworks, and quality assurance processes is also important. Gaining relevant certifications or training in AI and software testing can enhance your qualifications.

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:
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 June 2026, with employment types broken down into 96% Full Time, 2% Part Time, and 2% Contract. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution.
Staff Software Engineer - Hybrid

Staff Software Engineer - Hybrid

The Hartford

Columbus, OH • Hybrid

Full-time

Posted 29 days ago


The Hartford rating

8.8

Company rating: 8.8 out of 10

Based on 109 frontline employees who took The Breakroom Quiz

48th of 277 rated insurance


Job description

Staff Software Engineer - IE07IE

We're determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals - and to help others accomplish theirs, too. Join our team as we help shape the future.

The Claims IT department is seeking a Staff Software Engineer to join our team and play a pivotal role in designing, building, and scaling next-generation claims technology solutions. This is a hands-on technical leadership role where you will drive architecture decisions, mentor engineers, and deliver high-impact software that transforms the claims experience for our customers and internal users.

You will work at the intersection of modern cloud-native engineering and emerging Generative AI / Agentic AI capabilities, helping the organization harness these technologies to improve claims processing, decision-making, and operational efficiency.

This role will have a Hybrid work schedule, with the expectation of working in an office location (Hartford, CT; Columbus, OH; and Charlotte, NC) 3 days a week (Tuesday through Thursday).


Key Responsibilities:

  • Lead the design and development of scalable, cloud-native applications and microservices on AWS to support claims processing platforms.
  • Architect and implement Generative AI and Agentic AI solutions, including LLM integration, prompt engineering, AI orchestration pipelines, retrieval- augmented generation (RAG), and autonomous agent workflows.
  • Serve as a hands-on technical leader - writing production code, conducting code reviews, and setting engineering standards for the team.
  • Collaborate with product owners, architects, data scientists, and business stakeholders to translate complex business requirements into robust technical solutions.
  • Mentor and coach junior and mid-level engineers, fostering a culture of engineering excellence, continuous learning, and innovation.
  • Drive adoption of DevOps best practices including CI/CD pipelines, infrastructure as code (Terraform), automated testing, and observability.
  • Evaluate and recommend new technologies, frameworks, and patterns to improve developer productivity, system reliability, and customer outcomes.
  • Contribute to the evolution of our claims platform architecture, ensuring solutions are secure, performant, and maintainable at enterprise scale.
  • Partner with cross-functional teams across Claims IT to ensure consistency in standards, patterns, and tooling.


Required Qualifications:

  • Candidates must be authorized to work in the US without company sponsorship. The company will not support the STEM OPT I-983 Training Plan endorsement for this position.

  • 6+ years of professional software engineering experience with a track record of delivering complex, enterprise-scale applications.
  • Bachelor's degree in Computer Science, Software Engineering, or a related field (or equivalent practical experience).
  • Hands-on experience with Generative AI and Agentic AI technologies - including working with large language models (LLMs), AI agents, prompt engineering, vector databases, RAG architectures, and AI orchestration frameworks (e.g., LangChain, LangGraph, CrewAI, AutoGen, or similar).
  • Strong proficiency in Python and/or Java, with demonstrated ability to build production-grade backend services and APIs.
  • Extensive experience with Amazon Web Services (AWS), including but not limited to: Lambda, DynamoDB, S3, SQS/SNS, API Gateway, ALB, Step Functions, and IAM.
  • Experience building modern front-end applications using Angular.
  • Solid understanding of RESTful API design, microservices architecture, and event-driven systems.
  • Experience with Infrastructure as Code using Terraform.
  • Proficiency with CI/CD tools and practices (Jenkins, GitHub Actions, or similar).
  • Strong understanding of software engineering fundamentals: design patterns, data structures, algorithms, testing strategies, and secure coding practices.
  • Excellent communication and collaboration skills with the ability to influence technical direction across teams.


Preferred Qualifications:

  • Experience with Guidewire ClaimCenter or other Guidewire products is a significant plus.
  • Experience with FastAPI, Flask, or Spring Boot for building backend services.
  • Familiarity with containerization (Docker) and orchestration (ECS/EKS).
  • Experience with serverless architectures and event-driven design patterns (e.g., AWS Lambda + SQS/SNS + DynamoDB Streams).
  • Knowledge of observability and monitoring tools (CloudWatch, Datadog, Splunk, or similar).
  • AWS certifications (Solutions Architect, Developer, or Machine Learning Specialty).
  • Experience with testing frameworks such as pytest, JUnit, Karate, or similar.
  • Prior experience in the insurance or financial services industry.
  • Familiarity with Agile/SAFe methodologies and working in a scaled Agile environment.

Compensation

The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford's total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is:

$116,000 - $174,000

Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age

About Us|Our Culture|What It's Like to Work Here|Perks & Benefits


What The Hartford employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Hartford logo

About Hartford

Sourced by ZipRecruiter

Hartford Financial Services Group, widely recognized as The Hartford, is a renowned company based in Hartford, CT, US. Established in 1810, it has evolved into an industry leader in the insurance and financial services sector, proudly serving more than one million businesses in the US. The Hartford is committed to offering a gamut of insurance products that include homeowners, automobile, and business insurance as well as employee benefits and mutual funds. The company’s core values revolve around customer-focused innovations, diversity and inclusion, and ethical dealings that have earned them a customer-centric reputation. This shapes their mission which revolves around aiding their clients to overcome unforeseen obstacles and enhancing their wealth over time. Among the company's noted accomplishments is being consistently listed among the World's Most Ethical Companies, a testament to their unwavering commitment towards responsible business practices.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

Hartford, CT, US

Year founded

1810

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