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Open nowPosted 5 hours agoWe saw it 82 min after it went up

AI评测运营（交易方向）实习生 - AI数据与安全

ByteDance19,091 open roles

Where
Beijing, Chinese Mainland
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Your applicationOpen nowAI评测运营（交易方向）实习生 - AI数据与安全ByteDance · Beijing, Chinese Mainland

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  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

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The clock on this job

Early applications get read.

12.7% of postings close within 7 days. Measured by our own scanner across the market. ByteDance postings stay open a median of 6 days.

Share of postings closed within
  1. 2.2%1 day
  2. 4.5%3 days
  3. 12.7%7 days
  4. 20.4%14 days
  5. 35.6%30 days
  6. 58.7%60 days
This job: posted 5 hours ago

ByteDance median: 6 days open

The posting

团队介绍：AI 数据与安全团队为 Seed 基座模型及 AI 原生应用提供跨模态数据服务，覆盖数据生产全流程，包含模型评估标准的制定、数据规模化生产、数据飞轮搭建，不断提升数据质量，支持模型快速迭代。 团队由产品经理、数据工程、数据运营等跨职能人才组成，并通过与 Seed 研究员、行业专家、全球顶尖数据供应商紧密合作，从真实场景中收集反馈并分析模型表现数据，解决 AI 前沿突破过程中的复杂数据问题，推动模型性能与用户体验的双重提升。我们既是帮助模型技术迭代的一线贡献者，也是模型和 AI 产品的一手用户。

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、沉淀场景理解与评分标准：深入体验和拆解小程序服务的用户路径，梳理用户在常见功能如查询、比价、下单、改退、售后等环节的真实诉求和痛点，参与定义各场景下AI应该怎么理解需求、怎么调用服务、怎么交付结果； 2、推进自动评测落地：参与Rubrics自动化生产与LLM-AS-A-Judge评分链路的搭建和调优，通过人工抽检和人机一致率分析校准自动评分口径，推动评测从人工执行走向自动化、可复用； 3、评测执行与质量把控：组织人评与路测作业，编写作业规范，对作业同学进行培训、答疑和验收，保障评测结果准确、口径一致、按时交付； 4、负面案例归因与业务洞察：分析具体案例的模型回复与Agent运行轨迹，沉淀典型案例，输出有洞察的分析结论，支持产品研发迭代和版本对比。

1、本科及以上学历在读，专业不限； 2、每周可到岗4天及以上，能连续实习3个月以上；熟悉生活服务和交易类场景：是打车、订票、订酒店、外卖、团购等服务的重度用户，熟悉主流平台的产品流程、业务规则（如改签退票、优惠叠加、售后流程）和常见体验痛点，能快速判断一次服务“好不好、对不对、用户会不会满意”； 3、具备扎实的C端用户洞察力，能从用户真实诉求出发拆解场景，讲清楚问题背后的原因，而不只停留在现象描述； 4、懂模型能力、懂Agent：日常深度使用AI助手和Agent类产品，理解提示词/Skill、工具调用和多轮交互的基本原理，知道当前模型能做好什么、容易在哪里出； 5、对AI评测有基本认知，了解评测集、Rubrics、人机一致率等概念，能够将“回答好不好、任务有没有完成”拆解为清晰、可执行的判断标准，对数据质量和结果一致性有耐心； 6、逻辑清晰、表达准确，能主动推进任务，与产品、算法、研发及作业团队高效协作。

加分项 1、有自动评测实践经验：搭建或调优过LLM-as-a-Judge、PE/Skill评分链路，或能Python调用API、批量跑数并分析结果； 2、有出行、本地生活、电商或内容平台的运营、产品、策略或用户研究实习经验； 3、有大模型/Agent评测、数据标注、AI产品运营相关经验，或自己动手做过Agent、小程序相关项目。

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