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Open nowPosted 2 days ago

具身智能数据体系工程师-lab-校招

booster/index80 open roles

Where
Beijing, Chinese Mainland
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Your applicationOpen now具身智能数据体系工程师-lab-校招booster/index · 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.

13.9% of postings close within 7 days. Measured by our own scanner across the market. booster/index postings stay open a median of 6 days.

Share of postings closed within
  1. 2.2%1 day
  2. 4.7%3 days
  3. 13.9%7 days
  4. 22.4%14 days
  5. 38.1%30 days
  6. 59.0%60 days
This job: posted 2 days ago

booster/index median: 6 days open

The posting

【职位描述】 1. 机器人操作数据体系规划。 围绕多感知操作模型的训练和评测需求，规划任务类型、数据内容、采集方式、数据规模和阶段目标，将分散的单任务采集逐步建设为可持续、可复用的数据生产体系。 2. 数据采集与数据集建设。 建立真实机器人、遥操作和仿真数据的采集流程，覆盖视觉、听觉、力觉、机器人状态、动作及任务结果等信息；制定数据记录、同步、清洗、标注、质检、存储和版本管理规范。 3. 模型训练与数据采集的对接闭环。 与算法、机器人和实验团队合作，将模型训练、失败分析和评测结果转化为下一轮数据采集要求，建立数据覆盖、质量和训练效果的反馈机制，持续改进数据集。 4. 数据平台与采集工作的落地推进。 维护数据工具、数据集文档和采集流程，协调场地、设备、机器人平台及采集人员；推动数据体系从固定基座协作臂逐步适配到人形机器人上肢操作平台。

【职位要求】 1. 机器人、自动化、计算机、人工智能、数据工程或相关专业本科及以上学历，具有机器人学习、具身智能或机器学习数据工程相关经验。 2. 有机器人操作数据采集、示教或遥操作、模仿学习数据集、多传感器时序数据处理等项目经验，能够独立设计从任务定义到数据交付的完整流程。 3. 熟悉 Python 及常用数据处理工具，了解 ROS/ROS 2 或其他机器人软件框架；能够处理相机、音频、力觉、机器人状态和动作等多源时序数据。 4. 理解数据同步、传感器标定、数据质量检查、训练集与测试集划分、数据版本管理等基本问题。 5. 具备较强的跨团队沟通、文档整理和项目推进能力，能够理解模型训练需求并推动采集规范在团队中执行。 【加分项】 1. 主导负责过机器人多模态操作数据采集平台的规划与搭建。 2. 主导负责过大规模机器人操作数据集建设，并推动数据稳定用于模型训练及迭代改进。 3. 主导负责过仿真数据与真实机器人数据的联合建设，并将其用于操作模型训练或评测。

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