[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

# AI短剧内容运营实习生

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/32596)

[OpenNash Jobs](https://jobs.opennash.com/) / [Kuaishou Technology](https://jobs.opennash.com/companies/kuaishou-technology/) / AI短剧内容运营实习生

## Job description
- 参与AI短剧相关资产审核，包括图片、视频、字幕等内容的检查与整理；
- 协助完成短剧剧本校对、内容审核及问题反馈；
- 跟进AI短剧项目进度，协调相关人员，推动各环节按计划落地；
- 参与中国短剧译制及海外发行相关运营工作，包括剧集上传、负反馈处理、内容搜索与信息整理等；
- 协助整理合同、项目资料及其他日常运营文档。
- 本科及以上学历，大三及以上在读，时间充裕者优先；影视、传媒、编导、中文、翻译等内容相关专业优先；
- 对短剧、影视内容或 AI 内容生产有兴趣，有相关实习或项目经验者优先；
- 具备良好的文字敏感度和内容判断能力，工作细致、有责任心；
- 沟通和执行能力强，能够主动跟进并推动事项落地；
- 能够在北京坐班，连续实习不少于3个月，优先考虑可长期实习者。

## 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/32596)

## 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/)
