[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

# 用户研究实习生（可灵AI专项）

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/30099)

[OpenNash Jobs](https://jobs.opennash.com/) / [Kuaishou Technology](https://jobs.opennash.com/companies/kuaishou-technology/) / 用户研究实习生（可灵AI专项）

## Job description
- 参与视频/图像模型领域的用户需求分析与市场研究，挖掘行业核心痛点和机会点，支持可灵团队对各行业用户痛点形成明确认知；
- 参与定位可灵AI在用户侧的核心问题，以及改善优化的机会点，帮助提升可灵AI整体的模型/产品竞争力及用户粘性；
- 参与筹备大型用户调研、走访项目，协助项目管理与落地。
- 熟悉定量和定性用户研究方法，如定量问卷设计、定性招募要求；
- 行动力强，有耐心，面对海量用户反馈能挖掘出核心信息，面对庞大项目能耐心拆解、逐步完成；
- 英语流利，能作为工作语言；
- 心理学、社会学、统计学、经济与管理、计算机相关专业背景优先；
- 熟练使用SPSS、SQL、Python优先。

## 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/30099)

## 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

## Similar jobs at other companies

### [用户研究实习生](https://jobs.opennash.com/companies/xiaomi/jobs/736afdac0a9bfd2e46b9/)

Xiaomi · 南京

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/)
