[Hiring] AI QA Engineer @GAMA-1 Technologies

Role Description

GAMA-1 Technologies is seeking a remote AI QA Engineer to support the testing, validation, and quality assurance of AI-enabled applications and cloud-based systems. In this role, you will help ensure that AI-driven tools and software behave as expected, produce reliable outputs, and meet operational and technical requirements within modern cloud and DevOps environments.

The AI QA Engineer is responsible for validating AI-enabled systems, executing testing activities, identifying issues, and supporting quality assurance efforts across cloud-native applications and DevOps workflows.

• Validate AI-generated outputs and application behavior to ensure accuracy, consistency, and expected functionality
• Execute manual and automated testing activities across AI-enabled applications and cloud-based systems
• Identify, document, track, and communicate software defects, inconsistencies, and unexpected system behavior
• Collaborate with software engineers, cloud teams, DevOps teams, and business stakeholders to troubleshoot and resolve issues
• Support testing activities within CI/CD and cloud deployment environments
• Perform functional, regression, integration, and workflow testing across modern software applications
• Utilize QA and testing tools to support validation, automation, and system reliability
• Review APIs, workflows, and application integrations to validate expected system behavior
• Assist with the development and maintenance of testing procedures, validation standards, and QA documentation
• Analyze recurring issues and recommend process improvements to improve software quality and operational efficiency
• Participate in Agile/Scrum ceremonies and collaborate within cross-functional technical teams
• Ensure testing activities align with technical, operational, and business requirements

Qualifications

• 4+ years of experience in Software QA, Testing, SDET, Technical Business Analysis, or a related technical role
• Experience working in cloud-based or DevOps-oriented software environments
• 1–2 years of exposure to AI-enabled systems, AI-assisted workflows, or AI validation/testing activities
• Experience executing structured software testing and QA processes
• Strong attention to detail with the ability to identify defects, inconsistencies, and unexpected system behavior
• Familiarity with APIs, software testing methodologies, and modern application workflows
• Strong analytical, written, and verbal communication skills
• Ability to work independently and collaborate effectively within technical teams in a remote environment

Requirements

• Experience with AI/ML workflow or labeling tools such as Labelbox, Amazon SageMaker, or MLFlow
• Experience with testing and automation tools such as Selenium, Postman, JUnit, PyTest, Jenkins, or GitHub
• Experience supporting CI/CD workflows and cloud-native application environments
• Familiarity with Agile/Scrum software development methodologies
• Federal government or regulated environment experience is a plus

Benefits

• Health insurance coverage
• Life and disability insurance
• 401(k) savings plan
• Training and career development opportunities
• Paid holidays
• Paid time off (PTO - to cover vacation, illness or disability, appointments, emergencies or other situations that require time off from work)