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

[OpenNash Jobs](https://jobs.opennash.com/)
[Hiring report](/reports/hiring/) · [All Tencent Holdings jobs](https://jobs.opennash.com/companies/tencent-holdings/) · [Search jobs](/search/)

Tencent Holdings · Shanghai

# 腾讯混元-混元多模态数据产品（北京/上海）

Shanghai 

Listed on Tencent Holdings’s official careers site. Listed as of October 19, 2026. Check that it is still open and apply there.
[Apply on Tencent Holdings’s careers site →](https://careers.tencent.com/en-us/jobdesc.html?postId=2104523249634426880)

[OpenNash Jobs](https://jobs.opennash.com/) / [Tencent Holdings](https://jobs.opennash.com/companies/tencent-holdings/) / 腾讯混元-混元多模态数据产品（北京/上海）

## Job description

### Responsibilities
- 岗位职责；

### 数据规划
- 负责图像/视频模型预训练、后训练的数据建设，与算法团队协同制定数据标准、生产方案及交付计划；

### 数据寻源
- 拓展公开数据集、授权内容、定向采集及合成数据等来源，综合评估质量、规模、成本与合规性；

### 质量筛选
- 建立清晰度、美学质量、图文一致性、视频时序与运动质量等评价标准，推动数据清洗、去重、描述生成及标注验收；

### 效果迭代
- 结合训练评估与问题归因优化数据策略，协同研发推动数据生产、质量监控与版本管理的平台化。 Requirements
- 本科及以上学历，计算机、人工智能、统计学等相关专业优先，硕士及以上优先；
- 具备 1 年及以上数据产品、算法策略或 AI 产品经验，有大规模训练数据建设经验者优先；
- 具有图像/视频生成、多模态大模型或计算机视觉背景；有预训练数据治理、后训练数据生产经验者优先；
- 理解不同训练阶段的数据需求，熟悉数据筛选、配比与质量评估；具备 SQL、Python 数据分析能力及实验设计、效果归因能力者优先；
- 具备需求拆解与跨团队推进能力，能够协同算法、研发、标注及供应商完成交付，兼顾质量、成本与合规。

## At a glance
- Posted by the employer: Not stated
- First seen by OpenNash: Oct 12, 2026
- Last checked: Oct 19, 2026
- Listed for: 7 days
- Location: Shanghai[Apply on Tencent Holdings’s careers site →](https://careers.tencent.com/en-us/jobdesc.html?postId=2104523249634426880)

## More jobs at Tencent Holdings

### [3A修仙RPG游戏-主策划](https://jobs.opennash.com/companies/tencent-holdings/jobs/89e9be0bc8522a47c921/)

Shanghai

### [3A动作冒险游戏-战斗主策划](https://jobs.opennash.com/companies/tencent-holdings/jobs/9a81d086671e92a54e73/)

Shanghai

### [AI Infra研发工程师-上海/北京/深圳](https://jobs.opennash.com/companies/tencent-holdings/jobs/28bf4dec4ecc0f7de3c4/)

Shanghai

### [AI 沙盒体验资深设计师（深圳/上海）](https://jobs.opennash.com/companies/tencent-holdings/jobs/e74c7711c05491c1126d/)

Shanghai

### [AI产品海外解决方案架构师](https://jobs.opennash.com/companies/tencent-holdings/jobs/568fcdcf0fbc33d4bab0/)

Shanghai

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/)