Source description
About the role
About the job: Key responsibilities: 1. Test QA Bazaar's own platform as new features ship - write test cases, run them, find what breaks, and file bug reports precise enough that a fix takes one pass, not three. 2. Build and refine the QA process the marketplace runs on - the reporting templates, rubrics, and vetting criteria that decide who's a good QA on QA Bazaar. 3. Catch what a spec review misses - the flow that's technically correct but humanly wrong, the edge case nobody wrote down. Who can apply: Only those candidates can apply who: have minimum 1 years of experience are Computer Science Engineering students Salary: ₹ 3,00,000 - 4,00,000 /year Experience: 1 year(s) Deadline: 2026-08-05 23:59:59 Other perks: 5 days a week Skills required: Software Testing and Quality Assurance/Quality Control (QA/QC) Other Requirements: 1. Comfortable with ambiguity — this is a small team and the QA process isn't fully built yet, so you'll be shaping it as you go, not just following a playbook. 2. Prior QA/testing experience is a plus, but not required — judgment and precision matter more than years. Freshers who can demonstrate sharp bug-finding and clear reporting are welcome to apply. 3. Comfortable writing detailed, reproducible reports rather than "doesn't work, please check" — this is the single highest-leverage skill for the role. About Company: QA Bazaar is a marketplace connecting companies that need software tested with QA engineers who can test it. Teams shipping AI-accelerated builds get roughly 80% of the way there fast - the last 20% is quality, and that's where companies get stuck. We are a gig marketplace for vetted QA talent in days, not months, with verified deliverables and escrow-backed pay on both sides. For QA engineers and testers, it's a place to find real, flexible work: see the rate before you commit, get paid when your work is verified, and build a reputation that compounds a first rung for freshers, flexible income for experienced testers. We're a small, frugal team building the QA infrastructure this AI-driven shift needs.