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Open nowPosted 44 days ago

图片生成模型评测 - AI数据与安全

ByteDance19,207 open roles

Where
Beijing, Chinese Mainland
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Your applicationOpen now图片生成模型评测 - AI数据与安全ByteDance · Beijing, Chinese Mainland
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11.8% of postings close within 7 days. Measured by our own scanner across the market. ByteDance postings stay open a median of 2 days.

Share of postings closed within
  1. 2.1%1 day
  2. 4.4%3 days
  3. 11.8%7 days
  4. 18.6%14 days
  5. 35.6%30 days
  6. 45.1%60 days
This job: posted 44 days ago

ByteDance median: 2 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。

1、参与Seedream生图模型迭代过程中的评测与分析工作,推动评测体系和评测框架持续完善,支撑模型能力提升与产品落地; 2、参与图片生成/编辑模型的评测工作,包括文生图、图生图、指令编辑等任务的效果分析与对比评测; 3、搭建和维护评测集,围绕模型核心能力(指令理解、主体一致性、风格保持、细节还原、编辑精准度等)设计题库、标注规范与评测标准; 4、参与评测框架与流程建设,包括自动化评测链路、评测数据管理、评测结果可视化、评测报告输出等; 5、分析模型迭代效果,对版本差异、能力变化、失败案例进行归因,输出可落地的结论和优化建议; 6、跟进前沿模型能力与评测方法,关注最新生成模型趋势,探索更科学的评测指标和评测方案,协助团队沉淀评测方法论与最佳实践,形成可复用的评测资产。

1、2027届获得本科及以上学历; 2、有大模型评测经验,过往做过文本、视觉的评测POC经验优先; 3、对AIGC/图片生成模型有强烈兴趣,愿意长期投入学习与实践优先; 4、有责任心、执行力强,能够独立推进任务并对结果负责; 5、综合能力强,既能做评测执行,也能做指标分析,还能参与评测框架建设; 6、长期主义,不仅关注“这次评测做完”,更关注“评测体系怎么变得更科学、更自动化、更可复用”。

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