About the Company
Kainos is a leading digital technology company, focused on making life better for people and organisations around the world. We partner with public and private sector clients to create, develop, and deliver award-winning digital solutions that are transforming industries. With a strong commitment to innovation and employee development, we empower our teams to work on cutting-edge technologies, including AI, computer vision, and robotics.
Job Description
We are seeking a meticulous and detail-oriented Industrial Robotics Annotator with a focus on Computer Vision to join our innovative team in Belfast. In this crucial role, you will be responsible for accurately labeling and annotating complex datasets, primarily focusing on images and video feeds from industrial robotic systems. Your work will directly contribute to the training and improvement of advanced computer vision models, enhancing the precision, safety, and efficiency of our next-generation robotic solutions. This is an excellent opportunity for individuals passionate about the intersection of AI, robotics, and manufacturing, eager to contribute to real-world industrial applications.
Key Responsibilities
- Perform precise annotation and labeling of diverse datasets (images, video) collected from industrial robotics environments.
- Categorize and segment objects, detect anomalies, and mark key features relevant to robot perception and interaction.
- Utilize specialized annotation tools and software to ensure high data quality and consistency.
- Adhere strictly to annotation guidelines and provide constructive feedback for their improvement.
- Collaborate closely with AI engineers, computer vision scientists, and robotics experts to understand project requirements and refine annotation strategies.
- Maintain a high level of accuracy and productivity in a fast-paced environment.
- Document annotation processes and contribute to best practices.
- Participate in quality control checks to validate annotated data.
Required Skills
- Strong attention to detail and a keen eye for precision.
- Proficiency in using computer annotation tools and software (e.g., Labelme, VGG Image Annotator, or similar).
- Basic understanding of computer vision concepts and machine learning principles.
- Ability to interpret complex visual data and apply specific guidelines consistently.
- Excellent organizational and time management skills.
- Proficiency in basic computer operations and data entry.
- Good communication skills and ability to work effectively in a team.
- Familiarity with industrial settings or robotics concepts is a plus.
Preferred Qualifications
- Prior experience in data annotation, labeling, or quality assurance, especially for AI/ML projects.
- Experience with 3D point cloud annotation or sensor data processing.
- Exposure to industrial automation, manufacturing processes, or robotic systems.
- A degree or certification in a related field (e.g., Computer Science, Engineering, Data Science) is advantageous but not mandatory.
- Ability to learn new software and tools quickly.
Perks & Benefits
- Competitive salary and performance-based bonuses.
- Comprehensive health, dental, and vision insurance.
- Generous paid time off and flexible working arrangements.
- Pension scheme with company contributions.
- Opportunities for professional development, training, and career advancement.
- Vibrant and inclusive company culture with regular social events.
- State-of-the-art office facilities in a prime location.
- Employee assistance program.
- Access to cutting-edge technology and innovative projects.
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.