About the Company
ABB Robotics is a pioneer in robotics and machine automation, serving a diverse range of industries from automotive to electronics to logistics. With a rich history of innovation, we design, manufacture, and maintain cutting-edge industrial robots, robotic systems, and modular manufacturing solutions. Our mission is to help customers improve production efficiency, product quality, and worker safety by providing intelligent and collaborative automation technologies. We are committed to pushing the boundaries of what’s possible in robotics and fostering a culture of continuous learning and development.
Job Description
We are seeking a diligent and detail-oriented Industrial Robotics Annotator with a strong focus on computer vision to join our innovative team in Toronto. In this role, you will be crucial in preparing high-quality datasets for our advanced robotic vision systems. Your primary responsibility will involve precisely labeling and annotating images and video frames featuring industrial robots, their environments, and objects they interact with. This data will directly fuel the development and training of machine learning models that enable our robots to perceive, understand, and interact with the world more intelligently. If you have a keen eye for detail, a foundational understanding of computer vision concepts, and a passion for industrial automation, we encourage you to apply.
Key Responsibilities
- Perform highly accurate annotation of images and video data, identifying and labeling industrial robots, tools, workpieces, obstacles, and other relevant objects within complex manufacturing environments.
- Apply various annotation techniques including bounding boxes, polygons, keypoints, and semantic segmentation to create comprehensive datasets for machine learning models.
- Work closely with computer vision engineers and data scientists to understand annotation requirements and contribute to improving annotation guidelines.
- Ensure data quality and consistency by adhering to strict annotation protocols and providing feedback on ambiguous cases.
- Utilize specialized annotation software and tools efficiently.
- Participate in quality assurance processes to review and validate annotations from peers.
- Document annotation processes and contribute to best practices for data labeling.
Required Skills
- High level of attention to detail and ability to perform repetitive tasks accurately.
- Familiarity with computer vision concepts and terminology (e.g., object detection, segmentation).
- Proficiency in using data annotation tools (e.g., Labelme, CVAT, or similar).
- Basic understanding of industrial robotics or manufacturing environments.
- Strong analytical and problem-solving skills.
- Excellent communication and collaboration abilities.
- Ability to work independently and as part of a team in a fast-paced environment.
Preferred Qualifications
- Diploma or degree in a related field such as Engineering, Computer Science, Robotics, or a technical discipline.
- Experience with CAD software or 3D modeling.
- Previous experience in data labeling or annotation for machine learning projects.
- Exposure to programming languages such as Python for scripting or data manipulation.
- Understanding of industrial safety protocols.
Perks & Benefits
- Competitive salary and performance-based bonuses.
- Comprehensive health, dental, and vision insurance.
- Retirement savings plan with company match.
- Paid time off and company holidays.
- Opportunities for professional development and continuous learning.
- Dynamic and innovative work environment at the forefront of industrial robotics.
- Employee assistance program.
- On-site parking or transit subsidy.
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://jobs.westfordtrust.com.
If you suspect a fraudulent listing or have any questions, please contact us at techturna@gmail.com.