About the Company
Siemens is a global technology powerhouse 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. Our Digital Industries division is at the forefront of leveraging AI and data to optimize industrial processes and asset management, making us a leader in the evolving landscape of mechanical intelligence and predictive maintenance.
Job Description
We are seeking a diligent and detail-oriented Spare Parts Tagger with a keen interest in mechanical components and an understanding of artificial intelligence applications. This fully remote role is crucial for enhancing our digital inventory and AI-driven predictive maintenance systems. The successful candidate will be responsible for accurately tagging, categorizing, and enriching data for a vast array of mechanical spare parts, ensuring consistency and quality that feeds into our advanced AI models. Your work will directly impact the efficiency and reliability of industrial operations worldwide.
Key Responsibilities
- Accurately tag and categorize mechanical spare parts based on established taxonomies and specifications.
- Enrich part data with relevant attributes, descriptions, and technical specifications.
- Work closely with engineering and AI development teams to understand data requirements for machine learning models.
- Identify and resolve data discrepancies or inconsistencies in the spare parts database.
- Contribute to the continuous improvement of tagging guidelines and data quality processes.
- Perform quality checks on tagged data to ensure accuracy and completeness.
- Assist in the development of AI training datasets for mechanical part recognition and classification.
Required Skills
- Strong attention to detail and accuracy.
- Familiarity with mechanical components, terminology, and industrial equipment.
- Proficiency in data entry and database management.
- Ability to work independently and manage time effectively in a remote environment.
- Basic understanding of data structures and categorization principles.
- Excellent written and verbal communication skills in English.
Preferred Qualifications
- Previous experience in inventory management, parts cataloging, or technical data entry.
- Exposure to AI, machine learning concepts, or data annotation tools.
- Relevant certifications or vocational training in mechanical engineering, industrial technology, or data science.
- Proficiency with enterprise resource planning (ERP) systems or product lifecycle management (PLM) software.
- Experience working in an industrial automation or manufacturing environment.
Perks & Benefits
- Competitive annual salary.
- Comprehensive health and wellness benefits.
- Flexible working hours.
- Opportunities for professional development and training in AI and industrial technologies.
- Remote work setup allowance.
- Generous paid time off.
- Access to Siemens employee discounts and programs.
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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