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Open nowPosted 106 days ago

Agent策略运营实习生 - TikTok

ByteDance19,260 open roles

Where
Shanghai, Chinese Mainland
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Your applicationOpen nowAgent策略运营实习生 - TikTokByteDance · Shanghai, Chinese Mainland
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The clock on this job

Early applications get read.

11.3% of postings close within 7 days. Measured by our own scanner across the market. ByteDance postings stay open a median of 27 days.

Share of postings closed within
  1. 2.0%1 day
  2. 4.2%3 days
  3. 11.3%7 days
  4. 17.5%14 days
  5. 34.2%30 days
  6. 43.5%60 days
This job: posted 106 days ago

ByteDance median: 27 days open

The posting

团队介绍:TikTok是一个覆盖150个国家和地区的国际短视频平台,我们希望通过TikTok发现真实、有趣的瞬间,让生活更美好。TikTok在全球各地设有办公室,全球总部位于洛杉矶和新加坡,办公地点还包括纽约、伦敦、都柏林、巴黎、柏林、迪拜、雅加达、首尔和东京等多个城市。

TikTok ADSO(AI Data Service and Operations)团队负责支撑AI 模型训练、评估与优化的核心数据服务与运营。通过构建高质量、标准化的数据生产体系,以及建立全球化的精益运营模式,为TikTok产品各类 AI 能力的迭代提供稳定、规模化、高性价比的数据支持,推动 AI 技术在复杂业务场景中的深度落地。

加入我们,在真实的全球化 AI 业务中快速成长。你将与顶尖的算法、产品、工程团队协作,在实战中理解 AI 如何真正落地。

日常实习:面向全体在校生,为符合岗位要求的同学提供为期3个月及以上的项目实践机会。

1、基于大模型搭建内容标注场景的自动标注Agent,完成工具编排、Prompt工程、逻辑分支设计、参数与流程调优,持续迭代优化,提升Agent工作流和标注表现; 2、对Agent综合表现做评估,覆盖数据质量、多模态理解、Prompt/Policy执行度、标注准确率/P/R/F1等指标表现、工作流稳定性、迭代收益等多维度评估,输出实验报告; 3、基于项目目标设计测试实验,完成实验上线、跑数、日志采集与结果回收,协同跨团队解读实验结论,驱动数据化优化,支持项目上线和内部平台上线流程改造; 4、针对失败样本、指标波动做RCA,识别Prompt问题、模型局限、规则冲突、样本分布偏移、标签歧义等问题,沉淀修复方案与避坑经验,同步完成案例清洗、数据集构建、自动标注工作流优化; 5、搭建标注高频Skill和轻量可视化交互界面,输出使用教程与Demo,支持多个项目复用; 6、调研、测评AI Agent相关模型、工具与行业前沿方案,落地验证。

1、本科及以上学历在读,统计学/数学/计算机/通信/人工智能等理工科专业优先; 2、对主流LLM和AI Agent有基础认知,具备Agent开发实践经验; 3、逻辑思维清晰,能够将模糊复杂问题拆解为结构化步骤,具备实验分析能力和根因分析能力; 4、可连续实习3个月及以上,每周出勤不少于4天。

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