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Open nowPosted 92 days ago

Agent测试负责人

li/referral786 open roles

Where
Beijing, Chinese Mainland
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Your applicationOpen nowAgent测试负责人li/referral · Beijing, Chinese Mainland

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on li/referral's own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

11.8% of postings close within 7 days. Measured by our own scanner across the market. li/referral postings stay open a median of 1 days.

Share of postings closed within
  1. 2.1%1 day
  2. 4.4%3 days
  3. 11.8%7 days
  4. 18.6%14 days
  5. 35.6%30 days
  6. 45.1%60 days
This job: posted 92 days ago

li/referral median: 1 days open

The posting

岗位职责： ① 构建 SalesAgent 领域 Benchmark 行业里没有现成的汽车销售 Agent 评测集，核心维度包括： - 意图识别：判断客户处于哪个购买阶段（初探 / 有意向 / 临近成交 / 售后） - 幻觉检出：识别捏造车型参数、金融政策、配置信息等高风险输出 - 上下文记忆：多轮对话中正确引用客户信息，拒绝"失忆式重复提问" - 话术生成质量：跟进文案、试驾邀约、异议处理是否贴合真实销售语境 ② 设计模型迭代的测试闭环 - 搭建上线前的 Quality Gate：关键场景设定合格阈值，回归不通过不上线 - 构建「全场景 × 多版本」自动化回归框架，重点覆盖性能退化与边缘场景鲁棒性（方言、销售黑话、模糊表达） - 设计 A/B 测试方案，在专家用户小范围验证模型效果（话术采纳率、专家满意度、任务完成率） - Own 标注团队与标注规范，保证 Ground Truth 的一致性与可信度 ③ 搭建线上质量监控体系 - 建立线上问题的自动分类框架：幻觉 / 知识盲区 / 上下文偏差 / 领域术语缺失 - 构建问题优先级模型：频率 × 业务风险 × 可修复性，驱动算法团队高效排期，避免"拍脑袋修 Bug" ④ 推动专家 Skill 的标准化上线 - 设计 Skill 质量评估标准与上线前的双重检核机制 - 建立 Skill 效果追踪：使用率、采纳率、相对通用模型的质量提升幅度 - 设计灰度发布与回滚机制，防止低质 Skill 污染整体系统

任职要求： - 3+ 年算法评测、NLP 测试或 AI 质量保障经验 - 熟悉行业开源 benchmark（如 HELM、LM-Eval、MMLU、AgentBench、SWE-Bench 等）的构建思路与适用边界，并对业务 Agent 场景下的 benchmark 设计有自己的深刻见解 - 扎实的数据分析能力——能用数据清晰表达"模型好在哪里、差在哪里、差多少" - 理解 RAG、Harness Engineering、Fine-tuning 的基本原理，能与算法工程师平等对话

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  5. Reply with AI

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