Labelling engineer at Tomra

Huli District, Fujian, China -

Full Time

Start Date

Immediate

Expiry Date

12 May, 26

Salary

0.0

Posted On

11 Feb, 26

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Labelling, Deep Learning, Creativity, Problem Solving, Time Management, Communication, English Proficiency, Meticulousness

Industry

Automation Machinery Manufacturing

Description

公司介绍 About TOMRA TOMRA was founded on an innovation in 1972 that began with the design, manufacturing and sale of reverse vending machines (RVMs) for automated collection of used beverage containers. Today TOMRA provides technology-led solutions that enable the circular economy with advanced collection and sorting systems that optimize resource recovery and minimize waste in the food, recycling and mining industries and is committed to building a more sustainable future. TOMRA has ~100,000 installations in over 80 markets worldwide and had total revenues of ~1.1 billion NOK in 2021. The Group employs ~4,600 globally and is publicly listed on the Oslo Stock Exchange (OSE: TOM). TOMRA group established a wholly-owned subsidiary in Xiamen, China in 2010, including 2 business divisions of collection and sorting. As the headquarters of Greater China, TOMRA carries out the export of core modules and spare parts of collection equipment import and sales of complete sets of sorting equipment. In early 2015, the sorting division established a R&D center in Xiamen to carry out independent R&D, production and sales in the market segments of sorting equipment, focusing on the Chinese market and promoting to global customers. 关于陶朗集团陶朗集团成立于1972年，创立之初，陶朗主要设计、制造和销售用于收集废弃饮料瓶的自动退瓶机。如今，陶朗提供技术领先的行业解决方案，包括先进的废弃物收集系统，以及用于资源回收、食品、矿产等领域的领先分选技术，致力于创造一个更可持续的未来。陶朗集团在全球80多个国家和地区拥有约10万台设备安装量，2021年总收入约为11亿欧元。集团在全球拥有约4600名员工，并在奥斯陆证券交易所（OSE:TOM）上市。陶朗集团于2010年在中国厦门成立全资子公司，包含收集和分选两大事业部，并作为大中华区总部，开展收集设备核心模块和零配件的出口、分选设备的整机进口和销售。 2015年初, 分选事业部进一步在厦门成立了研发中心, 针对分选设备的细分市场领域进行独立自主的研发、生产和销售，以中国市场为重心并推向全球客户。职位描述 Focus on data labelling of deep learning dataset. 主要负责深度学习数据集的标注。 Labelling the dataset correctly and efficiently based at requirement. 按要求有效准确的对数据集进行标记。 Be creative while working, willing to try different tools. 工作过程采用有创意的工作方式，并愿意尝试不同的工具和方法。 Finish any other work that direct leader gives. 按时完成直属领导分配的其他任务。职位要求 Bachelor's degree or above. 本科以上。 Good in English listening, speaking, reading, and writing. 良好的英语听说读写能力。 Good verbal and non-verbal communicator, brightness, clarity. 良好的沟通技巧, 积极乐观。 Meticulous and careful, Eexcellent problems solving abilities. 认真细致与解决问题能力。 Time and multi-tasks management skill. 良好的时间管理技巧,可同时执行多任务。额外信息 1. Position available for start-up as soon as possible. 职位就绪，可即刻入职。 2. Probation period: 2 months. 试用期：2个月。

Responsibilities

The primary responsibility is to label deep learning datasets accurately and efficiently based on requirements. Additional tasks may be assigned by the direct leader.