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Open nowPosted 31 days ago

大模型评测分析师

dcar/referral674 open roles

Where
Beijing, Chinese Mainland
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Your applicationOpen now大模型评测分析师dcar/referral · Beijing, Chinese Mainland

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The clock on this job

Early applications get read.

12.1% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.1%1 day
  2. 4.5%3 days
  3. 12.1%7 days
  4. 19.1%14 days
  5. 35.6%30 days
  6. 52.7%60 days
This job: posted 31 days ago

The posting

1、参与大模型评测体系落地与数据闭环建设： 协助搭建和完善大模型标准化评测体系，负责评测集管理、样本采样、机评/人评数据校验、评测结果统计复盘；跟进评测全流程，保障评测数据真实、可信、可追溯，沉淀标准化评测报告，支撑模型能力量化评估； 2、场景问题提炼与标准化评测能力沉淀： 基于日常评测数据与业务反馈，归纳模型高频问题、场景共性缺陷，协助产品经理梳理可复用的评测规则、评测维度与验收标准，区分场景定制化需求与通用标准化能力，助力评测体系规范化、可配置化升级； 3、驱动评测结果落地模型迭代优化： 不局限于分数统计，深度拆解模型评测数据，精准识别模型能力短板、推理错误、场景适配不足等核心问题；完成问题归因分析，输出模型优化、评测集迭代、增量数据生产的具体建议，推动评测结论真正落地为模型迭代动作，打通评测-分析-优化闭环； 4、日常迭代支撑与跨团队协作： 负责日常模型版本回归测试、新版本效果对比、专项评测任务落地，同步评测结论、风险问题与优化建议，高效配合产研团队完成模型快速迭代与效果验收。

1、具备优秀的问题拆解与数据洞察能力，能够从繁杂的业务案例、评测数据中提炼核心问题，输出清晰的分析结论与优化建议； 2、拥有系统化的评测思维与逻辑能力，理解标准化规则搭建的核心逻辑，能够配合团队平衡短期评测交付与长期体系沉淀； 3、具备极强的跨团队沟通与落地推动能力，可高效对接算法、研发、产品、运营，精准同步问题、推进问题闭环； 4、对大模型技术原理、模型迭代逻辑、AI场景落地有浓厚兴趣，学习能力强，能快速适配AI评测业务迭代节奏； 5、熟练使用Excel、数据统计工具，具备基础数据分析能力，有大模型评测、标注体系搭建经验者加分。

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