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Generative Ai Testing Jobs in Arkansas (NOW HIRING)

Integrate AI/ML components and leverage generative AI tools to enhance software capabilities and ... automated testing. * Proficiency in debugging, code review, and continuous development ...

Integrate AI/ML components and leverage generative AI tools to enhance software capabilities and ... automated testing. * Proficiency in debugging, code review, and continuous development ...

Integrate AI/ML components and leverage generative AI tools to enhance software capabilities and ... automated testing. * Proficiency in debugging, code review, and continuous development ...

Integrate AI/ML components and leverage generative AI tools to enhance software capabilities and ... automated testing. * Proficiency in debugging, code review, and continuous development ...

Integrate AI/ML components and leverage generative AI tools to enhance software capabilities and ... automated testing. * Proficiency in debugging, code review, and continuous development ...

Integrate AI/ML components and leverage generative AI tools to enhance software capabilities and ... automated testing. * Proficiency in debugging, code review, and continuous development ...

Integrate AI/ML components and leverage generative AI tools to enhance software capabilities and ... automated testing. * Proficiency in debugging, code review, and continuous development ...

Integrate AI/ML components and leverage generative AI tools to enhance software capabilities and ... automated testing. * Proficiency in debugging, code review, and continuous development ...

Integrate AI/ML components and leverage generative AI tools to enhance software capabilities and ... automated testing. * Proficiency in debugging, code review, and continuous development ...

Integrate AI/ML components and leverage generative AI tools to enhance software capabilities and ... automated testing. * Proficiency in debugging, code review, and continuous development ...

Integrate AI/ML components and leverage generative AI tools to enhance software capabilities and ... automated testing. * Proficiency in debugging, code review, and continuous development ...

Integrate AI/ML components and leverage generative AI tools to enhance software capabilities and ... automated testing. * Proficiency in debugging, code review, and continuous development ...

Showing results 41-60

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 are popular job titles related to Generative Ai Testing jobs in Arkansas?

For Generative Ai Testing jobs in Arkansas, the most frequently searched job titles are:

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

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

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

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

Infographic showing various Generative Ai Testing job openings in Arkansas as of August 2026, with employment types broken down into 50% Full Time, and 50% Part Time. Highlights an 50% In-person, and 50% Remote job distribution.

(USA) Senior, Software Engineer

Sam's Club

Springdale, AR • On-site

$90K - $180K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 10 days ago


Sam's Club rating

6.5

Company rating: 6.5 out of 10

Based on 2,041 frontline employees who took The Breakroom Quiz

15th of 39 rated national retailers


Job description

Position Summary... What you'll do...Role summary:
The Senior Software Engineer will lead the delivery of scoped features and models through collaborative teams, ensuring alignment with platform and business objectives. This role involves designing, developing, testing, and maintaining scalable software solutions while integrating AI and machine learning components. The position requires strong technical judgment, continuous improvement, and effective communication with stakeholders to translate complex problems into actionable solutions. The engineer will support lifecycle execution, promote engineering excellence, and contribute to innovation, mentoring, and system reliability to drive high-quality outcomes aligned with organizational goals.
About the team:
The team drives modernization within the SAMs Replenishment area by delivering scalable, maintainable software solutions through collaborative engineering and a product-focused approach. Emphasizing iterative development, rigorous code review, and continuous integration, members apply strong technical skills in platform design and development. The group integrates advanced technologies, including generative AI, to enhance system performance. Team members work closely with stakeholders to translate complex requirements into effective solutions, ensuring high-quality delivery. This environment fosters continuous learning, technical excellence, and proactive problem-solving to meet evolving business needs efficiently and reliably.
What you'll do:
  • Lead delivery of scoped features and components through collaborative engineering teams, ensuring alignment with platform and business objectives.
  • Develop, test, and maintain high-quality, efficient code across multiple programming languages, supporting full software development lifecycle and CI/CD processes.
  • Integrate AI/ML components and leverage generative AI tools to enhance software capabilities and development efficiency.
  • Participate in solution design, conduct code reviews, and apply best practices for scalable, secure, and maintainable systems.
  • Collaborate with stakeholders to translate requirements into technical solutions and define success metrics.
  • Monitor application performance, troubleshoot issues, and drive continuous improvement initiatives.
  • Mentor peers and contribute to knowledge sharing and engineering excellence.

What you'll bring:
  • Proven expertise in object-oriented programming and documentation-based coding practices.
  • Strong experience delivering scoped features and managing full software development lifecycle including CI/CD and automated testing.
  • Proficiency in debugging, code review, and continuous development methodologies.
  • Ability to design scalable, secure, and maintainable software solutions aligned with platform and business objectives.
  • Experience integrating AI/ML components and leveraging generative AI tools to enhance development efficiency.
  •  Effective collaboration and communication skills to engage stakeholders and cross-functional teams.
Mimimum Qualifications:  •  6 years of experience with developing and supporting complex systems using Java/JEE, Spring, Spark, Databases: Azure SQL, Postgres, Azure/GCP Cloud Platform, Airflow DAGs, micro-services, Kafka, Kubernetes, Docker, Big query At Sam's Club, we offer competitive pay as well as performance-based bonus awards and other great benefits for a happier mind, body, and wallet!
-Health benefits include medical, vision and dental coverage
-Financial benefits include 401(k), stock purchase and company-paid life insurance
-Paid time off benefits include PTO, parental leave, family care leave, bereavement, jury duty, and voting. You will also receive PTO and/or PPTO that can be used for vacation, sick leave, holidays, or other purposes. The amount you receive depends on your job classification and length of employment. It will meet or exceed the requirements of paid sick leave laws, where applicable.
For information about PTO, see https://one.walmart.com/notices.
- Other benefits include short-term and long-term disability, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement, and more.
Live Better U is a company paid education benefit program for full-time and part-time associates in Walmart and Sam's Club facilities. Programs range from high school completion to bachelor's degrees, including English Language Learning and short-form certificates. Tuition, books, and fees are completely paid for by Walmart.
Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to a specific plan or program terms.
For information about benefits and eligibility, see One.Walmart.
The annual salary range for this position is $90,000.00 - $180,000.00 Additional compensation includes annual or quarterly performance bonuses. Additional compensation for certain positions may also include Regional Pay Zone (RPZ) (based on location).

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Minimum Qualifications...

Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.

Option 1: Bachelor's degree in computer science, computer engineering, computer information systems, software engineering, or related area and 3 years’ experience in software engineering or related area.
Option 2: 5 years’ experience in software engineering or related area. Preferred Qualifications...

Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.

Master’s degree in Computer Science, Computer Engineering, Computer Information Systems, Software Engineering, or related area and 1 year's experience in software engineering or related area., We value candidates with a background in creating inclusive digital experiences, demonstrating knowledge in implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies, and integrating digital accessibility seamlessly. The ideal candidate would have knowledge of accessibility best practices and join us as we continue to create accessible products and services following Walmart’s accessibility standards and guidelines for supporting an inclusive culture. Primary Location... 2101 Se Simple Savings Dr, Bentonville, AR 72712-4304, United States of America Walmart and its subsidiaries are committed to maintaining a drug-free workplace and has a no tolerance policy regarding the use of illegal drugs and alcohol on the job. This policy applies to all employees and aims to create a safe and productive work environment.

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