QA Engineer

The interview process at jobs.micro1.ai typically spans three rounds: an online aptitude test, a technical interview focused on QA concepts and tool proficiency, and an HR round assessing communication and cultural fit. The difficulty is moderate, with emphasis on practical testing scenarios and clear articulation of defect analysis. Candidates should prepare with real‑world test case examples and be ready to discuss past bug‑tracking experiences.

Round 1: Online assessment – aptitude and logical reasoning → Round 2: Technical interview – QA fundamentals, automation tools, scenario‑based questions → Round 3: HR interview – cultural fit, communication skills, salary discussion

Jobs.micro1.ai promotes a results‑oriented remote work culture where flexibility meets accountability. Employees enjoy regular virtual hackathons, mentorship programs, and clear growth pathways, while the company emphasizes work‑life balance through flexible hours and wellness initiatives.

Any graduate (B.Tech/B.E., B.Sc., B.Com, or equivalent) with a minimum of 60% aggregate (or CGPA 6.0/10). No active backlogs at the time of joining. Freshers from the 2023‑2026 batches are encouraged to apply. Strong command of English (B2 level or above) is required. Reliable high‑speed internet connection and a suitable home office setup are mandatory.

Micro1 is an emerging technology services firm that specializes in building data pipelines and AI‑enabled solutions for global enterprises. With a focus on high‑volume data annotation, model evaluation and quality assurance, the company has positioned itself as a trusted partner for organizations looking to accelerate AI model training. The work culture emphasizes autonomy, rapid learning, and a collaborative environment where engineers are encouraged to experiment with the latest testing frameworks and contribute to product improvements. Over the past few years, Micro1 has expanded its client base across fintech, healthcare, and e‑commerce, delivering end‑to‑end AI data workflows that power next‑generation intelligent applications. The QA Engineer role is a contractor position that will be performed entirely remotely. As a QA Engineer, you will be part of a dedicated testing squad that validates AI‑generated outputs for a high‑volume customer project. Your primary mission is to ensure that the data fed into the training loop meets the highest quality standards, thereby improving model reliability and performance. While prior AI experience is not mandatory, a solid background in software quality assurance, test case design, and defect management is essential. You will work closely with data scientists, product managers, and developers to create robust evaluation rubrics, execute manual and automated test suites, and provide clear, actionable feedback. Key Responsibilities: 1. Evaluate AI‑generated technical responses against defined quality rubrics and flag inaccurate or incomplete answers. 2. Design comprehensive functional, regression, and edge‑case test scenarios, including negative and boundary tests. 3. Review and verify bug reports, ensuring reproducibility and accurate severity classification. 4. Document defects with detailed reproduction steps using test management tools. 5. Provide concise written feedback and annotations to developers for swift issue resolution. 6. Collaborate with cross‑functional teams to refine evaluation guidelines and improve testing standards. 7. Maintain and enhance automated test scripts using Selenium or similar frameworks. 8. Track test coverage and metrics to demonstrate quality improvements over time. 9. Participate in knowledge‑sharing sessions and mentor junior QA contributors. 10. Ensure adherence to project timelines and maintain a reliable internet connection for seamless remote collaboration. Tech Stack: Selenium, Playwright, Cypress, Appium, Postman, Jira, TestRail, Zephyr, BrowserStack, Python/Java for scripting, CI/CD pipelines. Growth Path: Starting as a contract QA Engineer, high performers can transition to senior QA lead, QA automation architect, or move into AI data‑quality specialist roles, with opportunities to manage larger testing teams and influence product strategy. Why Join Micro1: Competitive hourly rates, exposure to cutting‑edge AI projects, flexible remote work, and a culture that values continuous learning and impact‑driven contributions.