- Conduct structured UAT on AI voice agents prior to client launch: place and receive test calls, probe edge cases and failure modes, and document defects with clear reproducible steps
- Test across scripted and adversarial scenarios (identity verification, payment negotiation, escalation/handoff triggers) to confirm the agent behaves as expected before go-live
- Between launches, listen to and grade live agent calls against QA scorecard, scoring for accuracy, compliance, and tone
- Flag systemic issues (recurring failure patterns, scorecard drift, edge cases) to engagement and engineering teams
- Maintain explicit, consistent documentation of test results and call grades in our tracking tools
Preferred candidate profile
- 2-4 years of QA/quality analyst experience, ideally in a consumer lending contact center or voice-based environment
- Familiarity with US consumer lending laws and regulations such as FDCPA and TCPA
- Strong attention to detail and comfort following a structured test plan or scorecard rather than improvising
- Clear written English for defect reports and call notes
- Comfortable giving and receiving detailed feedback on quality issues
Ideal candidate would be from Collections domain monitoring Voice Process .
📌 Voice Process Quality Assurance (Bengaluru)
🏢 Extern Data Solutions (opc)
📍 Bengaluru
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