QA Intern (Quality Assurance)

Candidates typically face a two‑stage interview process. The first stage tests aptitude and basic QA fundamentals, while the second stage dives deeper into test case design, automation concepts, and practical problem solving. The interviews are moderate in difficulty; clear communication and a solid grasp of testing basics are key to success.

Round 1: Aptitude & basic QA concepts → Round 2: Technical interview (test case design, automation basics) → Round 3: HR interview (culture fit, availability)

Scaler AI Labs promotes a learning‑first culture where experimentation is encouraged and failures are treated as growth opportunities. Employees enjoy a balanced work‑life schedule with flexible timings, regular knowledge‑sharing sessions, and clear pathways for career advancement.

B.Tech/B.E. or MCA in Computer Science, Information Technology, Electronics, or related streams; minimum 60% aggregate (or CGPA 6.0/10); graduating batch 2025, 2026 or 2027; no active backlogs; must be eligible to work in India.

Scaler AI Labs is a fast‑growing technology startup that builds AI‑driven learning platforms for engineering students across India. Founded by a team of ex‑FAANG engineers and educators, the company combines deep domain expertise with cutting‑edge machine learning to personalize curriculum, assess performance, and provide real‑time feedback. With its flagship product, Scaler Academy, the firm has attracted over 200,000 active learners and secured multiple rounds of funding, positioning itself as a leader in the ed‑tech space. The organization’s culture emphasizes rapid experimentation, data‑backed decision making, and a collaborative environment where every voice matters. Employees work in cross‑functional squads that own end‑to‑end product features, allowing interns and fresh graduates to contribute meaningfully from day one. Scaler AI Labs also invests heavily in employee growth through mentorship programs, regular tech talks, and a clear career ladder that rewards performance and learning. The QA Intern role is designed for fresh engineering graduates who are passionate about software quality and want to gain hands‑on experience in a high‑impact product environment. As an intern, you will work closely with senior QA engineers and product managers to ensure that new features meet functional, performance, and security standards before release. You will be involved in writing test cases, executing manual and automated tests, logging defects, and collaborating with developers to drive bug resolution. Key responsibilities include: 1. Understanding product requirements and translating them into clear, comprehensive test scenarios. 2. Designing and executing manual test cases for web and mobile interfaces. 3. Developing and maintaining automated test scripts using Selenium or Cypress. 4. Reporting defects in JIRA with detailed steps to reproduce and severity classification. 5. Performing regression testing for each release cycle to verify that existing functionality remains stable. 6. Validating API responses using Postman and writing basic API test scripts. 7. Collaborating with developers to reproduce issues and verify fixes. 8. Contributing to test documentation and knowledge‑base articles for future reference. 9. Participating in sprint planning and daily stand‑ups to provide QA insights. 10. Learning and applying basic performance testing tools to assess load handling. The tech stack primarily includes Selenium WebDriver, Cypress, Python for scripting, JIRA for defect tracking, Postman for API testing, and Git for version control. Interns will also get exposure to CI/CD pipelines using Jenkins or GitHub Actions. Growth path: Successful interns can transition to full‑time QA Engineer positions, later moving into SDET roles, QA Lead, or product quality management positions, depending on performance and interest. The role offers a solid foundation in testing methodologies, automation frameworks, and agile development practices. Why join Scaler AI Labs? You will work on a product that impacts hundreds of thousands of learners, receive mentorship from industry veterans, and gain practical experience with modern testing tools in a fast‑paced startup environment. The internship also provides a stipend, flexible working hours, and the possibility of a full‑time offer based on performance.