Trip.com Group · Shanghai
AI QA
Listed on Trip.com Group’s official careers site. Posted August 13, 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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