About the Company
Siemens UK is a technology company focused on industry, infrastructure, transport, and healthcare. From more resource-efficient factories, resilient supply chains, and smarter buildings and grids, to cleaner and more comfortable transportation as well as advanced healthcare, we create technology with purpose, adding real value for customers. With a long-standing history of innovation and engineering excellence, Siemens is committed to digitalizing industries and making a tangible impact on society.
Job Description
We are seeking a highly meticulous and detail-oriented Spare Parts Tagger with a focus on mechanical components and AI integration. This fully remote role involves accurately identifying, categorizing, and tagging mechanical spare parts within our digital inventory systems, utilizing cutting-edge AI tools to enhance precision and efficiency. You will play a crucial role in maintaining the integrity of our parts database, supporting our global operations and supply chain. If you have a keen eye for mechanical detail and are eager to work with AI-powered solutions from the comfort of your home, we encourage you to apply.
Key Responsibilities
- Accurately identify and classify mechanical spare parts based on their type, function, and specifications.
- Utilize AI-driven recognition tools and platforms to streamline the tagging process for new and existing parts.
- Ensure data consistency and integrity across all digital inventory systems.
- Collaborate with engineering, procurement, and supply chain teams to clarify part specifications and resolve discrepancies.
- Contribute to the continuous improvement of our AI models by providing feedback on recognition accuracy and system performance.
- Maintain up-to-date knowledge of mechanical components and industry standards.
- Perform quality checks on tagged data to ensure high levels of accuracy and completeness.
Required Skills
- Exceptional attention to detail and accuracy.
- Strong understanding of mechanical components, terminology, and engineering diagrams.
- Proficiency in data entry and experience with database or inventory management systems.
- Ability to work independently and manage time effectively in a remote work environment.
- Excellent communication skills, both written and verbal.
- Basic computer literacy and comfort with digital tools.
Preferred Qualifications
- Previous experience in a spare parts, inventory, or supply chain role.
- Familiarity with AI/Machine Learning tools or platforms for data classification.
- Technical degree or certification in Mechanical Engineering, Industrial Technology, or a related field.
- Experience with CAD software or technical documentation.
- Knowledge of lean principles or continuous improvement methodologies.
Perks & Benefits
- Fully remote work flexibility.
- Competitive salary and performance bonuses.
- Comprehensive health and wellness programs.
- Generous pension scheme.
- Opportunities for professional development and training in AI technologies.
- Employee assistance program.
- Work-life balance initiatives.
How to Apply
If you are interested in this position, please click the "Apply Now" button below. To ensure your application is properly considered, please prepare the following:
- An up-to-date Resume or CV
- A brief cover letter summarizing your experience and motivation
Applications are reviewed on a rolling basis. Only shortlisted candidates will be contacted for an interview.
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