About the Company
Siemens UK is a technology powerhouse that has stood for engineering excellence, innovation, quality, reliability, and internationality for more than 170 years. Actively present in the UK for over 175 years, Siemens focuses on areas of electrification, automation, and digitalization. We are a leading supplier of systems for power generation and transmission as well as medical diagnosis. We are at the forefront of industrial digital transformation, smart infrastructure, and sustainable energy solutions. Join our team and contribute to shaping the future of industrial technology.
Job Description
We are seeking a meticulous and detail-oriented Industrial Robotics Annotator with a strong focus on Computer Vision to join our innovative team in Hull City Centre. In this role, you will be crucial in advancing our cutting-edge robotics and AI initiatives by accurately labeling and annotating complex industrial datasets. Your work will directly feed into the training and validation of machine learning models used in industrial automation, robotics navigation, object recognition, and quality control systems. This is an exciting opportunity to contribute to the development of next-generation intelligent robotic systems.
Key Responsibilities
- Accurately annotate and label images and video data from industrial environments, specifically focusing on robotics applications.
- Identify and delineate objects such as robotic arms, tools, workpieces, obstacles, and environmental features.
- Perform semantic segmentation, bounding box annotation, keypoint annotation, and 3D point cloud labeling as required.
- Ensure high quality and consistency of annotations by adhering strictly to predefined guidelines and protocols.
- Collaborate closely with AI engineers and researchers to understand data requirements and improve annotation quality.
- Provide constructive feedback on annotation tools and guidelines to enhance efficiency and accuracy.
- Manage and organize large volumes of data efficiently within annotation platforms.
- Participate in regular quality assurance reviews and incorporate feedback to maintain superior data integrity.
Required Skills
- Proven experience with image and video annotation tools (e.g., Labelbox, VGG Image Annotator, SuperAnnotate, CVAT).
- Strong attention to detail and a methodical approach to tasks.
- Basic understanding of computer vision concepts and machine learning fundamentals.
- Familiarity with industrial environments or robotics applications is a significant advantage.
- Proficiency in using computers and navigating various software applications.
- Ability to work independently and as part of a team in a fast-paced environment.
- Excellent communication skills and the ability to interpret complex instructions.
Preferred Qualifications
- A degree or diploma in a related field such as Computer Science, Engineering, Data Science, or a technical discipline.
- Previous experience working with industrial machinery, automation, or manufacturing processes.
- Experience with 3D data annotation or point cloud processing.
- Knowledge of Python scripting for data handling or automation tasks.
Perks & Benefits
- Competitive salary and performance-based bonuses.
- Comprehensive health and dental insurance plans.
- Generous pension scheme contributions.
- Annual leave and public holidays.
- Opportunities for professional development and continuous learning.
- Access to cutting-edge technology and innovative projects.
- Supportive and collaborative work environment.
- Employee assistance program.
- Flexible working arrangements where applicable.
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.
⚠️ Important Disclaimer
Welcome to Westford Trust. We publish job opportunities aggregated from public sources, employers, and job portals. We never charge any fees to access or use our website; all information is provided entirely for free.
Westford Trust does not directly offer or manage these positions, nor are we directly involved in the hiring process for the vacancies published on https://job.westfordtrust.com.
If you suspect a fraudulent listing or have any questions, please contact us at techturna@gmail.com.