[Skip to main content](#main-content)

[OpenNash Jobs](https://jobs.opennash.com/)
[Hiring report](/reports/hiring/) · [All Kuaishou Technology jobs](https://jobs.opennash.com/companies/kuaishou-technology/) · [Search jobs](/search/)

Kuaishou Technology · Beijing

# 生态治理运营实习生-【社区治理部】

Beijing 

Listed on Kuaishou Technology’s official careers site. Listed as of October 19, 2026. Check that it is still open and apply there.
[Apply on Kuaishou Technology’s careers site →](https://zhaopin.kuaishou.cn/#/official/social/job-info/17343)

[OpenNash Jobs](https://jobs.opennash.com/) / [Kuaishou Technology](https://jobs.opennash.com/companies/kuaishou-technology/) / 生态治理运营实习生-【社区治理部】

## Job description
- 负责快手社区评论安全的治理工作，基于用户理解及风险研判，制定从问题发现、识别处置到效果监控的全流程治理机制；
- 深入了解以评论为主的社区场景，根据热点、用户反馈等，分析用户及内容特征，设计合理有效的内容规则和策略方案，并对治理效果进行持续评估；
- 与算法等上下游团队协作，完善安全运营系统，优化治理链路、策略体系、流量分发机制。
- 大学本科及以上学历，大三/研三等等优先；
- 责任心强，沟通表达清晰，能够协同各方推动项目落地；
- 对短视频平台有深度使用体验和理解，对互联网内容生态有浓厚兴趣；
- 熟悉SQL等数据分析工具，有互联网策略运营、社区安全治理、舆情治理经验者优先；
- 可以稳定实习3个月及以上，每周4天及以上；表现优秀者可提供27年留用机会。

## At a glance
- Posted by the employer: Not stated
- First seen by OpenNash: Oct 19, 2026
- Last checked: Oct 19, 2026
- Listed for: Under a day
- Location: Beijing[Apply on Kuaishou Technology’s careers site →](https://zhaopin.kuaishou.cn/#/official/social/job-info/17343)

## More jobs at Kuaishou Technology

### [(大模型专项）多模态大模型算法工程师](https://jobs.opennash.com/companies/kuaishou-technology/jobs/98edf462c05648daadcf/)

Beijing

### [AI Agent 开发实习生（电商在线推荐引擎）](https://jobs.opennash.com/companies/kuaishou-technology/jobs/5945a85b9a833fcbb5f8/)

Beijing

### [AI Agent 策略实习生](https://jobs.opennash.com/companies/kuaishou-technology/jobs/b814e14328b750da25f6/)

Beijing

### [AI Agent算法专家](https://jobs.opennash.com/companies/kuaishou-technology/jobs/0e36be4e740de43e02ad/)

Beijing

### [AI Agent算法专家（智能创作方向）](https://jobs.opennash.com/companies/kuaishou-technology/jobs/41a78c4c892cbbd1bc50/)

Beijing

OpenNash lists jobs from employers’ own careers sites and does not handle applications.
Dates come from the employer where stated; “first seen” and “last checked” are our own observations.

OpenNash Jobs · Official listings with dates and links to the employer. [Weekly hiring report](/reports/hiring/) · [Methodology](/methodology/)