About the Company
Verkada is a leader in cloud-managed enterprise building security, providing a full suite of security solutions including cameras, access control, environmental sensors, and alarms. Our mission is to make the world safer by building intelligent solutions that protect people and property. We are committed to leveraging cutting-edge AI and machine learning to enhance urban safety and operational efficiency, driven by high-quality data. Join our team and contribute to a safer future.
Job Description
We are seeking a diligent and detail-oriented Part-Time Video Annotator to join our Urban Safety data team. In this role, you will play a critical part in training and improving our AI models by accurately labeling and categorizing objects and events within video footage related to urban environments and safety scenarios. This position offers flexible shifts, ideal for individuals looking for a part-time opportunity to contribute to innovative technology that impacts public safety. Your keen eye and meticulous work will directly enhance the intelligence of our security systems, helping us identify and prevent potential risks in real-time.
Key Responsibilities
- Accurately annotate and categorize objects, events, and behaviors in video data according to established guidelines.
- Identify and tag various elements crucial for urban safety analysis, such as vehicles, pedestrians, specific actions, and environmental conditions.
- Maintain high levels of data quality and consistency, ensuring annotations are precise and adhere to project specifications.
- Collaborate with data scientists and engineers to provide feedback on annotation guidelines and tools for continuous improvement.
- Manage time effectively to complete assigned annotation tasks within specified deadlines.
- Adhere strictly to data privacy and confidentiality protocols.
Required Skills
- Exceptional attention to detail and strong observational skills.
- Proficiency with basic computer operations and web-based applications.
- Ability to concentrate for extended periods and perform repetitive tasks accurately.
- Reliability and a strong work ethic.
- Excellent communication skills and ability to follow complex instructions.
Preferred Qualifications
- Previous experience with video annotation tools or data labeling platforms.
- Familiarity with urban environments, public safety concepts, or surveillance systems.
- Background in data entry, quality assurance, or similar detail-oriented roles.
- Understanding of machine learning or computer vision concepts.
Perks & Benefits
- Flexible work schedule options to accommodate personal commitments.
- Opportunity to contribute to advanced AI technology in a critical field.
- Collaborative and supportive team environment.
- Access to state-of-the-art tools and training.
- Potential for growth within the data annotation and AI sectors.
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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