CVAT标注实习生
CVAT Annotation Intern
关于Origin
Origin（前身为10xConstruction）正在为美国建筑行业打造通用型自主机器人，以应对不断上升的成本、安全风险和劳动力短缺。我们的模块化、多工种平台结合了专用硬件与实时现场智能，能够在复杂环境中导航并精确执行任务。在高保真模拟中训练，并已在实际工地部署，我们的机器人可实现5倍于传统方式的执行速度、250%以上的利润率提升以及显著的成本节约。加入印度最具人才密度的机器人团队，成员来自IIT、斯坦福大学、加州大学洛杉矶分校等。
关于该职位
我们正在寻找一位注重细节且有动力的CVAT标注实习生，协助使用CVAT（计算机视觉标注工具）创建高质量的标注数据集。在此职位中，你将直接参与构建用于训练实体AI代理的稳健数据集。
主要职责
- 使用各种标注技术（例如边界框、多边形、分割掩码）在CVAT上对图像中的对象、区域和特征进行准确标注和标记。保持记录的条理清晰，并准确记录所有标注更新。
- 对标注数据进行质量控制检查，必要时审查和验证其他标注员的工作。
- 与AI/ML团队合作，提高数据集质量和构建新型数据集。
- 提出对标注指南和工作流程的改进建议。遵守项目截止日期，在预定时间内交付高质量的标注数据。
- 有效地与项目负责人和团队成员沟通挑战，并分享最佳实践。
要求
- 具有真实世界AI应用的数据标注经验。
- 掌握多种图像标注技术，并熟练掌握行业标准的人机协作标注工作流程。
- 熟悉CVAT，这是一款在机器人和计算机视觉行业中广泛使用的标注工具。
- 接受经验丰富的AI/ML专业人士的指导。
- 获得进入数据分析师、QA或其他AI和技术行业初级职位的通道。
对于实习/学徒：
这是一个为期六个月的合同转正职位，根据你的贡献和兴趣，可能有更长期的机会。我们期待与积极进取、渴望支持现实世界机器人开发并和我们一起成长的个人合作。
查看英文原文
About Origin
Origin (previously 10xConstruction) is building general-purpose autonomous robots for US construction to tackle rising costs, safety risks, and labour shortages. Our modular, multi-trade platform combines purpose-built hardware with real-time site intelligence to navigate complex environments and execute tasks with precision. Trained in high-fidelity simulation and already deployed on live sites, our robots deliver 5x faster execution, 250%+ margin expansion, and significant cost savings. Join India’s most talent-dense robotics team consisting of individuals from IITs, Stanford, UCLA, etc.
About the role
We are seeking a detail-oriented and motivated CVAT Annotation Intern to assist in the creation of high-quality label datasets using CVAT (Computer Vision Annotation Tool). In this role you will directly contribute to the creation of robust datasets required for training physical AI agents.
Key Responsibilities
- Accurately annotate and label objects, regions, and features within images using various annotation techniques (e.g., bounding boxes, polygons, segmentation mask) on CVAT. Maintain organized records and document all annotation updates accurately.
- Perform quality control checks on annotated data, including reviewing and verifying the work of other annotators when required.
- Collaborate with AI/ML teams to enhance dataset quality and build new types of datasets.
- Suggest improvements to annotation guidelines and workflows.
- Adhere to project deadlines and deliver high-quality annotated data within predetermined timelines.
- Communicate effectively with project leads and team members about challenges and gather/share best practices
Requirements
- Practical experience with data annotation for real-world AI applications.
- Master various image annotation techniques and become proficient in industry-standard human-in-the-loop annotation workflows.
- Gain expertise in CVAT, a leading annotation tool used across robotics and computer vision industries.
- Receive mentorship from experienced AI/ML professionals.
- Access a pathway to roles in data analysis, QA, or other entry-level positions within the AI and tech industries.
For apprentice/Intern :
This is a six-month contract-to-hire position, with potential for longer-term opportunities depending on your contributions and interests. We’re excited to work with motivated individuals who are eager to support real-world robot development and grow alongside us.
Originally posted on Himalayas