岗位职责
- AI Quality Assessment Framework & Standards - Establish and maintain quality evaluation criteria for 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 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.
职位要求
- 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.
