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
Core Objective: Translate annual transportation goals into actionable monthly strategies, execute plans, conduct regular performance reviews, and lead the team to achieve core business KPIs.Resource & Vendor Management: Leverage local resources to mobilize vendor support and enhance operational collaboration.Fleet & Distribution Expertise: Possess deep understanding of urban distribution, with proven experience managing fleets of 100+ vehicles daily.Cost & Talent Optimization: Demonstrate expertise in transportation cost reduction, driver management, and professional training.
职位介绍
岗位职责：
1.落实各项研发体系质量管理制度，确保研发活动符合GLP/GMP/ICH等法规要求以及公司的研发质量管理规章制度;
2.起草和完善研发质量管理文件，完成培训并监督执行，包括但不限于变更、偏差、研发过程的风险评估、技术转移等;
3.负责对中试生产和研发各个环节开展必要的质量监控工作，确保产生的各项数据真实、完整、可追溯;
4.开展与研发实际需求相适应的验证、确认、校验校准管理工作；
5.审核产品质量标准和工艺规程类质量文件，监督临床试验用药品的生产和包装;
6.协助研发团队应对国内外监管机构的现场核查和注册申报(如NMPA、FDA、EMA)；
7.对研发外包服务（如CRO、CDMO）和物料供应商进行质量评估和审计，确保合作方符合质量要求。
岗位要求：
1.药学、化学、生物或医学相关专业，本科及以上学历;
2.具备临床QA经验、或两年及以上质量管理(QA)经验，或三年及以上药品研发工作经验；
3.然悉药品研发生产质量法规，具备一定的药物研发或检验经验者优先;
4.具备一定的英语读、写能力，熟练应用电脑及办公软件;
5.严谨细致，责任心强，具备优秀的沟通协调能力和团队合作精神。
职位介绍
岗位职责：
1.落实各项研发体系质量管理制度，确保研发活动符合GLP/GMP/ICH等法规要求以及公司的研发质量管理规章制度;
2.起草和完善研发质量管理文件，完成培训并监督执行，包括但不限于变更、偏差、研发过程的风险评估、技术转移等;
3.负责对中试生产和研发各个环节开展必要的质量监控工作，确保产生的各项数据真实、完整、可追溯;
4.开展与研发实际需求相适应的验证、确认、校验校准管理工作；
5.审核产品质量标准和工艺规程类质量文件，监督临床试验用药品的生产和包装;
6.协助研发团队应对国内外监管机构的现场核查和注册申报(如NMPA、FDA、EMA)；
7.对研发外包服务（如CRO、CDMO）和物料供应商进行质量评估和审计，确保合作方符合质量要求。
岗位要求：
1.药学、化学、生物或医学相关专业，本科及以上学历;
2.具备临床QA经验、或两年及以上质量管理(QA)经验，或三年及以上药品研发工作经验；
3.然悉药品研发生产质量法规，具备一定的药物研发或检验经验者优先;
4.具备一定的英语读、写能力，熟练应用电脑及办公软件;
5.严谨细致，责任心强，具备优秀的沟通协调能力和团队合作精神。
Senior QA EN SHACC ALL(MJ034817)
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.
1、负责编制小卡领域自制零部件/总成的产品质量检验规范（标准）、检验作业文件的会签；
2、负责小卡领域自制零部件/总成产品审核；
3、负责小卡领域过程审核推进和过程审核符合率提升工作；
4、负责协调、检查、指导分管小卡领域产品质量的控制与确认工作；
5、负责小卡领域过程产品一致性监督和对日常质量问题的协调处理；
6、负责小卡领域负责不合格品的确认、仲裁及质量问题的整改验证工作；
7、负责定期对小卡领域过程产品质量的统计、分析、报告和过程质量监察工作；
8、负责小卡领域新产品制造质量保证及自制新产品质量认可。
1）负责自动驾驶算法测试体系化建设，建设测试流程和测试手段；2）负责测试策略制定，能够分层做好问题拦截，保障交付质量；3）负责问题优先级和影响的判断，负责业务运营线上问题、跟进以及验证问题解决；4）协助整理行业对标工具/方法的基础调研，提出建设性的建议。
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.