QA Engineer - Voice AI (Thai Language) part-time, 3-5 weeks

About the Role

This project delivers a Thai Voice AI PoC that automates high-volume outbound telemarketing calls using real-time voice interaction and LLM-based intent handling. The solution benchmarks ASR/TTS providers, enables safe human handoff, and provides performance metrics and a scalable foundation for expanding voice automation. Duration: 3-5 weeks.

Responsibilities

• Define and maintain QA strategy for Voice AI PoC → MVP
• Design test scenarios for telemarketing flows, intents, and edge cases
• Validate ASR/TTS quality (WER/CER, accent robustness, noise conditions)
• Test LLM intent accuracy, fallback behavior, and confidence thresholds
• Verify human handoff, consent, DNC, escalation, and hang-up logic
• Analyze QA metrics and provide go/no-go recommendations
• Ensure demo and readout readiness with no surprises on demo day

KPI

• KR1: ≥95% test coverage for top telemarketing scenarios and top 20 intents
• KR2: 0 P0 / P1 defects open at PoC demo and readout
• KR3: Human handoff triggers correctly in ≥99% of low-confidence or edge cases
• KR4: Consent / opt-out / fallback flows pass 100% of compliance test cases
• KR5: Escalation and hang-up logic validated across all supported call paths

Skills

• QA for voice, conversational AI, or IVR systems (Thai language)
• Scenario-based and exploratory testing
• Experience with API, backend, and integration testing
• Log analysis, trace inspection, and defect root-cause analysis
• Ability to translate business flows into testable acceptance criteria

Qualifications

• 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)