About the Company
Accenture is a global professional services company with leading capabilities in digital, cloud and security. Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations Services, and Accenture Song — all powered by the world’s largest delivery network. Our 738,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. We embrace the power of change to create long-lasting value for our clients, people and communities.
Job Description
Join Accenture as a Video Annotator, focusing on critical urban safety initiatives. In this role, you will play a vital part in enhancing AI systems designed to improve public safety and urban infrastructure. Your primary responsibility will be to meticulously review and tag video footage, identifying specific objects, events, and behaviors relevant to our smart city projects. This is a crucial data labeling position that requires exceptional attention to detail, a strong commitment to accuracy, and the ability to work with sensitive content. We offer flexible shifts to accommodate various schedules, making this an ideal opportunity for those seeking meaningful work with work-life balance.
Key Responsibilities
- Analyze and categorize diverse video footage according to project-specific guidelines related to urban safety.
- Accurately identify and label objects, events, and patterns such as vehicle types, pedestrian movements, traffic incidents, and infrastructure anomalies.
- Utilize specialized annotation tools to draw bounding boxes, polygons, and other labels with high precision.
- Maintain high standards of data quality and consistency across all annotated content.
- Provide constructive feedback on annotation guidelines and tools to improve efficiency and accuracy.
- Collaborate with team members and project managers to ensure timely completion of tasks.
Required Skills
- Exceptional attention to detail and strong observational skills.
- Proficiency in basic computer operations and comfortable with new software.
- Ability to concentrate on repetitive tasks without loss of accuracy.
- Strong ethical judgment and ability to handle sensitive and confidential information responsibly.
- Reliable internet access and a suitable home workspace for hybrid model components.
- Excellent time management and organizational skills for flexible scheduling.
Preferred Qualifications
- Prior experience in data annotation, video labeling, or quality assurance.
- Familiarity with AI, machine learning, or computer vision concepts.
- Understanding of urban planning, public safety, or traffic management principles.
- Experience with cloud-based annotation platforms.
Perks & Benefits
- Flexible scheduling options to support work-life balance.
- Opportunity to contribute to impactful urban safety and smart city initiatives.
- Access to ongoing training and professional development resources.
- Competitive hourly compensation.
- Hybrid work model offering a blend of on-site collaboration and remote flexibility.
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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