Trip.com Group · Shanghai
Senior QA EN SHACC ALL
Listed on Trip.com Group’s official careers site. Posted May 7, 2026. Check that it is still open and apply there.
Apply on Trip.com Group’s careers site →Job description
Core Responsibilities
- AI Quality Assessment Framework & Standards
- Establish and maintain quality evaluation criteria for Large Language Models (LLMs), covering accuracy, safety, compliance, and instruction-following capabilities.
- Design evaluation workflows combining automation and human-in-the-loop assessment to quantify model performance regularly.
- End-to-End Quality Control & Risk Management
- Own regression testing and acceptance testing for model iterations, enforcing quality gates to prevent performance degradation before launch.
- Monitor online performance to mine for badcases, identifying model hallucinations, logic errors, or experience defects, and issue timely risk alerts.
- Issue-Driven Improvement & Closed-Loop Management
- Lead Root Cause Analysis (RCA) for quality issues, precisely diagnosing whether failures stem from data, prompts, or model architecture.
- Drive algorithm, product, and operations teams to resolve quality defects, track the fix rate and conduct re-validation to ensure a closed-loop process.
- Cross-functional Collaboration
- Bridge the gap between business needs and technical implementation, ensuring the AI delivers real value to users.
Educational Background
- Full-time bachelor's degree or higher.
Work Experience
- 3+ years of experience in internet product operations. Hands-on experience in LLM/AIGC product operations is highly preferred.
Professional Skills
- Mastery of AI evaluation methodologies (e.g., Golden Dataset construction, Human Evaluation SOPs).
- Sharp eye for detail ("bug hunting" mindset) with the ability to mine potential risks from massive data.
- Familiarity with Prompt Engineering to reproduce or verify issues (focus on validation rather than daily maintenance).
Soft Skills
- Strong cross-functional communication skills; ability to use data to influence and drive cross-functional partners to solve complex problems.
Language Skills
- Proficiency in written and spoken English.
Preferred Qualifications
- Project management experience is a plus.
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