About the Company
Capita is a leading provider of business process management and professional services, partnering with clients across the public and private sectors to deliver transformation and essential services. With a strong commitment to leveraging technology for societal benefit, we are at the forefront of developing innovative solutions for urban safety and smart cities initiatives across the UK.
Job Description
Join our dedicated team at Capita and play a crucial role in enhancing urban safety through meticulous video annotation. As a Video Annotator, you will be responsible for accurately labeling objects, events, and anomalies within video footage collected from urban environments. Your work will directly contribute to the development and refinement of AI models designed to improve public safety, traffic management, and emergency response systems. This role offers flexible shifts to accommodate various schedules, making it an ideal opportunity for individuals seeking work-life balance while contributing to a vital cause. This position operates under a hybrid work model, blending on-site collaboration with remote flexibility.
Key Responsibilities
- Accurately annotate video footage with specified labels, bounding boxes, and polygons according to project guidelines.
- Identify and categorize objects, behaviors, and environmental conditions relevant to urban safety and smart city applications.
- Maintain high levels of data quality and consistency across all annotations.
- Collaborate with project managers and AI engineers to understand annotation requirements and improve workflows.
- Provide feedback on annotation tools and guidelines to optimize efficiency and accuracy.
- Participate in training sessions to stay updated on new annotation techniques and project specifics.
Required Skills
- Strong attention to detail and ability to maintain focus for extended periods.
- Excellent visual perception and pattern recognition skills.
- Proficiency in using computer software and ability to quickly learn new tools.
- Reliable internet connection if working remotely for hybrid flexibility.
- Basic understanding of data privacy and confidentiality.
- Ability to work independently and manage time effectively.
Preferred Qualifications
- Previous experience in video annotation, image labeling, or data entry roles.
- Familiarity with urban safety concepts, smart city technologies, or public infrastructure.
- Experience with annotation platforms (e.g., VGG Image Annotator, LabelImg).
- A keen interest in AI, machine learning, and their applications in real-world scenarios.
Perks & Benefits
- Flexible working hours to support work-life balance.
- Opportunity to contribute to impactful urban safety projects.
- Comprehensive training and ongoing support.
- Access to Capita's employee benefits scheme (e.g., pension, health & wellbeing programs).
- Career development opportunities within a large, diverse organization.
- Hybrid work model offering a blend of on-site and remote work.
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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