通化QA
QA，即Quality Assurance，质量保证，是指在软件开发、制造或服务过程中，通过检查、测试、评估等一系列活动来确保产品或服务符合标准和客户要求的过程。QA的主要目标是确保产品质量、提高客户满意度，并减少不合格产品或服务的风险。QA工程师负责设计、实施和维护测试计划，并协助开发团队识别和修复问题。他们还必须确保公司的质量标准符合国际标准和行业最佳实践。QA通常需要对软件工程、测试方法、质量管理原则和工具有深入的了解，并具备解决问题、沟通和团队合作的能力。在敏捷开发环境中，QA工程师通常与开发团队紧密合作，以确保快速交付高质量的产品。
薪酬概览
平均月薪
¥5500
中位数 ¥5000 ｜ 区间 ¥4300 - ¥6700
数据来源：谈职全网11份招聘数据；更新时间：2026年7月13日
月薪分布
90.9% 人群薪酬落在 0-8k
三大影响薪酬的核心维度
影响薪资的核心维度1：工作年限
影响薪资的核心维度2：学历背景
市场需求
6月新增岗位
14
对比上月：岗位减少1
数据由各大平台公开数据统计分析而来，仅供参考。
岗位需求趋势
不同经验岗位需求情况
| 工作年限 | 月度新增职位数 | 职位占比数 |
|---|---|---|
| 应届 | 2 | 33.3% |
| 1-3年 | 2 | 33.3% |
| 3-5年 | 2 | 33.3% |
热招职位
部门介绍美团自动配送以自研L4级自动驾驶软硬件技术为核心，与美团即时零售业务结合，形成满足公开道路、校园、社区、工业园区等室外全场景下的自动配送整体解决方案。美团无人车团队成立于2016年，团队成员来自于Waymo、Cruise、Pony.ai、泛亚等自动驾驶行业头部公司，自动驾驶技术团队博士占比高达30%，依靠视觉、激光等传感器，实时感知预测周围环境，通过高精地图定位和智能决策规划，保证自动配送车全场景即时配送能力。自2020年起，自动配送车已在北京、深圳等多地进入常态化试运营阶段，运营车辆超500台，日均运营超16小时，截止2022年6月，已经累计配送近220万单。欢迎加入美团无人车团队，与我们一起用科技推动即时零售再升级！
从事实验室测试用光电设备研发工作，实验室光学镜头、投影机等产品光电性能检测工作，光学镜头、监控摄像机、投影机等产品光电性能检测方法和技术研究工作。
岗位职责：
1）负责对接业务线的质量管理工作，根据业务流程变化和外部环境变化搭建和完善质量指标体系和配套制度流程，运用监控报表、调研、体验测试、案例抽检等多方式监控、分析和统计业务线客户相关质量表现；
2）基于识别到的质量问题进行单点和整体分析，思考提出并主导用户体验优化专项和内部流程质量改进专项；
3）结合客户声音和竞品动向，运用问卷调查、电话访谈等多种方法进行专题用户体验研究，向业务团队输出有价值的问题改进建议和增值优化建议；
4) 掌握客户体验和金融消费者权益保护的相关标准、原则和具体要求，独立开展对接业务线的质量审核；
5) 持续追踪落实相关业务团队对质量问题和质量建议的改进落实。
任职资格
岗位要求：
1) 理解质量管理在对客体验和对内流程上的标准，了解金融消费者权益保护相关原则性要求，在银行、支付机构、互金机构等金融相关岗位或用户体验研究相关岗位有工作经验优先；
2) 具备良好的主动思考和独立判断能力，具备良好的数据分析能力，逻辑清晰；具备良好的沟通表达和协调推进能力；
3) 细致稳重，责任感强，对待改进项有敏锐的识别能力；
4) 熟练运用Excel, PPT, Word等日常办公软件，英语CET-6,口语表达流利者优先。
Senior QA EN SHACC ALL(MJ035074)
- 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.
任职资格
- 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.
- Maintain and optimize the department’s quality management system and service quality standards, continuously enhancing customer satisfaction.
- Lead and implement quality improvement initiatives to identify and resolve issues across service, product, procedure, and supply chain domains from the customer’s perspective.
- Analyze quality-related data and feedback from various channels to uncover pain points and improvement opportunities.
- Communicate findings and recommendations effectively with internal and external stakeholders to drive ongoing enhancements.
- Complete other tasks assigned by the line manager.
任职资格
- Educational Background: Full-time bachelor's degree or higher.
- Work Experience: Over 2 years of experience in call center or customer service management. Experience in tourism-related projects is preferred.
- Professional Skills: Familiarity with quality management standards; strong data mining and analysis abilities, such as SQL.
- Soft Skills: Excellent communication, execution, and cross-team collaboration skills; strong problem-solving and logical thinking abilities.
- Language Skills: Proficiency in written and spoken English.
- Preferred Qualifications: Project management experience is a plus.
Core Objective: Responsible for the overall management of the warehouse. Translate annual goals into actionable monthly strategies, execute plans, conduct regular performance reviews, and lead the team to achieve core business KPIs.Efficiency Management: Drive refined operations to maximize efficiency. Develop and implement optimization plans to continuously improve on-site performance.Performance & Metric Operations: Monitor daily operational metrics (efficiency, quality, and shrinkage). Utilize data analysis to identify bottlenecks and collaborate with stakeholders to drive improvements.Resource & Cost Management: Oversee monthly procurement of warehouse supplies. Standardize procurement categories and implement cost-saving initiatives through effective price comparison and vendor management.Specialized Analysis: Manage and report on abnormal metrics, providing actionable insights for resolution.Administrative & System Support: Maintain the inventory management system (excess/shortage/damage), manage meeting room scheduling, and oversee warehouse expense control.
1、协助质量负责人搭建、维护和改进质量体系，参与质量体系文件（管理制度、SOP等）的编制、审核、修订与分发工作，确保文件管理规范；
2、负责生产过程、细胞存储环节的质量监督检查，核对生产操作是否符合SOP要求；
3、负责洁净区环境的日常监测；
4、负责质量相关文件、记录的归档与管理，确保记录完整、可追溯；
5、协助质量负责人开展质量培训、质量审核、偏差处理、不合格品管理等工作，整理相关记录与报告。
Qatar-履约副站 Last Mile Supervisors
1. Responsible for the daily management of the dark store delivery module, developing regional delivery management plans and supervising on-site execution.
2. Facilitate the implementation of business operations in the region, monitor daily operations, service quality, and performance metrics.
3. Collect, provide feedback on, and resolve fulfillment issues in the region, follow up on operational anomalies, and conduct experience analysis for continuous improvement.
4. Oversee the training of supervisors/riders in the region to enhance employees' overall quality and business capabilities.
5. Ensure service quality at sites within the region, analyze delivery customer complaints, implement effective measures to control complaints, and provide professional, efficient, and high-quality delivery services to enhance customer satisfaction.
