Data Labeling - Bengaluru, Karnataka, India - Eagle Eye Networks Inc

Description

Responsibilities

As a Data Labelling and Annotator, you will play a crucial role in building high-quality datasets for training machine learning and deep learning models.

Your responsibilities will involve collecting data in environments, and annotating the data to create labelled samples.

Your attention to detail and ability to ensure data quality will be essential in contributing to the success of our deep learning/machine learning projects.

Key Responsibilities:

• Data Collection
• Data Tagging and Annotating.
• Data Handling
• Quality Control
• Documentation

Requirements:

• Basic computer knowledge.
• Punctuality
• Excellent attention to detail
• Good communication
• Teamwork skills to collaborate effectively with crossfunctional teams.

Eagle Eye Networks is leveraging artificial intelligence on its true cloud platform to dramatically reshape the video surveillance and security industry.

The Eagle Eye Cloud Video Management System (VMS) is a smart cloud video surveillance solution, purpose-built to help businesses improve safety, security, operations, and customer service.

Tens of thousands of companies in more than 90 countries around the globe have moved their video surveillance to the cloud with Eagle Eye VMS.

Customers, including multi-family residences, smart cities, schools, hospitals, hotels, logistics, restaurants, and retail shops trust Eagle Eye for actionable business intelligence and proactive security across multiple locations.

The Eagle Eye VMS has strong APIs for the secure integration of third-party systems and works with thousands of industry cameras, so customers don't have to "rip and replace" their existing infrastructure.

Eagle Eye Cloud VMS is the only platform robust enough to power the future of video surveillance.

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