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Open nowPosted 201 days ago

具身数据算法工程师

agirobot/referral515 open roles

Where
Shanghai, Chinese Mainland
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Your applicationOpen now具身数据算法工程师agirobot/referral · Shanghai, Chinese Mainland

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

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

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The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

12.3% of postings close within 7 days. Measured by our own scanner across the market. agirobot/referral postings stay open a median of 1 days.

Share of postings closed within
  1. 2.1%1 day
  2. 4.5%3 days
  3. 12.3%7 days
  4. 19.3%14 days
  5. 35.6%30 days
  6. 57.8%60 days
This job: posted 201 days ago

agirobot/referral median: 1 days open

The posting

负责机器人数据闭环中的智能处理、自动标注与样本挖掘，构建高质量训练数据集，提升数据对模型训练的价值密度，实现“数据→模型”的高效转化。 【岗位职责】 · 基于多模态大模型（VLM/VLA）构建自动标注管线，对视频、动作轨迹、触觉信号等进行结构化标注（动作阶段、接触事件、成功/失败标签），降低人工标注成本； · 设计样本挖掘与筛选策略，运用主动学习与场景挖掘技术，从海量数据中识别高价值样本（失败轨迹、长尾场景、异常操作），提升训练集的多样性与任务覆盖度； · 开发数据增强方法（轨迹扰动、视角变换、动力学仿真合成），利用MimicGen/DexMimicGen等技术实现“单条演示→100-1000倍合成数据”，扩充高质量训练样本； · 建立数据质量评估模型，自动化过滤低质量样本，持续迭代标注与清洗策略，沉淀数据清洗标准作业流程（SOP）； · 与生产、评测团队协同，快速响应模型训练中的数据痛点，推动数据-模型闭环优化。

有自动驾驶、具身智能或大规模自动标注项目经验； - 熟悉VLA、Diffusion Policy、ACT等机器人学习算法，有相关算法开发经验； - 有模型微调或训练经验，了解LoRA、RLHF等高效微调技术； - 有仿真合成数据生成经验（MimicGen、Isaac Sim等）； - 在机器人/计算机视觉顶会（CoRL、ICRA、IROS、CVPR等）发表过相关论文

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