About the project
Vietnamese Voice AI PoC
Duration: 3-5 weeks
KPI
KR1:
KR2:
KR3:
KR4:
KR5:
Areas of Responsibility
- Define and maintainQA strategyfor Voice AI PoC → MVP
- Designtest scenariosfor telemarketing flows, intents, and edge cases
- ValidateASR/TTS quality(WER/CER, accent robustness, noise conditions)
- TestLLM intent accuracy, fallback behavior, and confidence thresholds
- Verifyhuman handoff, consent, DNC, and compliance-related logic
- Analyze QA metrics and providego/no-go recommendations
- Ensuredemo and readout readiness(no surprises on demo day)
QA strategy
test scenarios
ASR/TTS quality
LLM intent accuracy
human handoff
go/no-go recommendations
demo and readout readiness
Skills
- QA forvoice, conversational AI, or IVR systems (Vietnamese language)
- Scenario-based and exploratory testing
- Experience withAPI, backend, and integration testing
- Log analysis, trace inspection, and defect root-cause analysis
- Ability to translate business flows into testable acceptance criteria
voice, conversational AI, or IVR systems (Vietnamese language)
Scenario-based and exploratory testing
API, backend, and integration testing
Log analysis, trace inspection, and defect root-cause analysis
Ability to translate business flows into testable acceptance criteria
Knowledge
- Voice AI fundamentals:ASR, TTS, WER, CER, latency metrics
- LLM-based intent detection and confidence thresholds
- Call flow logic: barge-in, interruptions, silence handling, hang-ups
- Telemarketing and contact-center workflows (nice to have)
- QA metrics and release readiness criteria
- Basic understanding of compliance concepts (consent, opt-out, escalation)
ASR, TTS, WER, CER, latency metrics
LLM-based intent detection and confidence thresholds
Call flow logic: barge-in, interruptions, silence handling, hang-ups
Telemarketing and contact-center workflows (nice to have)
QA metrics and release readiness criteria
Basic understanding of compliance concepts (consent, opt-out, escalation)