AI QA(MJ036437)

Inactive

Company Ctrip

Focus Tech · Testing

Location Shanghai

Published August 13, 2026

岗位职责

Core Responsibilities

AI Quality Assessment Framework & Standards

o Establish and maintain quality evaluation criteria for Large Language Models (LLMs), covering accuracy, safety, compliance, and instruction-following capabilities.

o Design evaluation workflows combining automation and human-in-the-loop assessment to quantify model performance regularly.

End-to-End Quality Control & Risk Management

o Own regression testing and acceptance testing for model iterations, enforcing quality gates to prevent performance degradation before launch.

o 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

o Lead Root Cause Analysis (RCA) for quality issues, precisely diagnosing whether failures stem from data, prompts, or model architecture.

o 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

o Bridge the gap between business needs and technical implementation, ensuring the AI delivers real value to users.

Key Qualifications and Experience

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:

o Mastery of AI evaluation methodologies (e.g., Golden Dataset construction, Human Evaluation SOPs).

o Sharp eye for detail ("bug hunting" mindset) with the ability to mine potential risks from massive data.

o 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.