QA Tester

What Identifies a Quality Assurance Executive (QA Tester) ?

A Quality Assurance (QA) Tester working on AI-driven projects ensures the accuracy, reliability, and performance of AI models, applications, and integrated systems. Beyond traditional testing, they validate model behavior, evaluate prompt quality, and ensure AI outputs meet user expectations and business requirements.

This role involves designing structured test plans, test cases, and validation scripts based on product requirements and AI model behavior. QA Testers conduct manual and automated testing, document findings, and collaborate closely with developers, data scientists, and product teams. They also perform cross-browser and cross-platform validation using tools like BrowserStack, ensuring seamless user experiences across environments.

In AI contexts, QA Testers may evaluate prompting strategies, test model responses for consistency and accuracy, and perform bias, performance, and edge-case testing. They help refine AI interactions, ensuring the system behaves safely, reliably, and predictably.

Contributions of a QA Tester
AI Output Quality Evaluation Testing AI responses for correctness, relevance, safety, and consistency.
Prompt Engineering & Testing Creating, refining, and validating prompts to ensure optimal model performance.
Manual & Automated Testing Covering UI, functionality, integrations, and workflows across web and mobile.
Cross-Browser & Cross-Device Testing Using BrowserStack for real-device and environment testing.
Bug Detection & Reporting Identifying edge cases, anomalies, model issues, and UI/UX bugs.
Performance & Load Testing Using tools like JMeter or equivalent to ensure systems
scale efficiently.
Usability Testing Ensuring intuitive interactions in AI-powered user journeys.
Continuous Improvement & Innovation Suggesting test optimizations, AI evaluation enhancements, and workflow improvements.

Expectations for a QA Tester
Strong Understanding of AI Product Behavior Ability to interpret model outputs, identify inconsistencies, and test for bias, hallucinations, and incorrect responses.
Comprehensive Test Planning: Writing detailed test cases for UI, APIs, AI features, and end-to-end flows.
Prompt Testing & Evaluation Understanding prompting techniques, testing multiple variations, and ensuring improved model accuracy.
AI Safety & Security Testing Ensuring the model adheres to compliance, safety standards, and data protection requirements.
Thorough Regression Testing Updating and maintaining regression suites for AI model updates and product enhancements.
Bug Reporting & Documentation Using tools like Jira, Trello, or Asana to report issues with clarity and structure.
Cross-Functional Collaboration Working with ML engineers, product managers, and developers to resolve defects and refine product quality.

Capabilities of a Quality Assurance Executive (QA Tester)
Educational Background ( Preferred ) Bachelor’s or Master’s degree in Computer Science, IT, or a related field.
AI & Prompting Knowledge Familiarity with LLM behavior, prompt crafting, and evaluation of AI outputs.
BrowserStack Experience Hands-on experience performing cross-browser/device testing.
User Acceptance Testing (UAT) Supporting clients and end-users to validate that the AI product meets real-world needs.
Continuous Learning Mindset Staying updated with AI tools, testing methods, prompting strategies, and automation frameworks.
Certifications (Optional) QA certifications (Manual, Automation, ISTQB) or AI-related certifications can be beneficial.

Experience: Minimum 1 year of QA experience, preferably on AI or ML-centric products.

If the above role matches your experience and interest, please contact us at +91 9909166110 or email your resume to hr@atologistinfotech.com.

Job Types: Full-time, Permanent

Pay: ₹40,000.00 - ₹70,000.00 per month

Benefits:

• Leave encashment
• Paid sick time
• Paid time off

Work Location: In person