Job Summary:
We are looking for a detail-focused Video Labeling Specialist to review and label video content for machine learning and data analytics. The role involves accurately tagging scenes, objects, and actions to ensure high-quality datasets, supporting the development of AI and automation technologies.

The ideal candidate should demonstrate attention to detail, consistency, and reliability, and be flexible with working hours, adapting to different schedules and project timelines as needed.

Key Responsibilities:
● Analyze video content and apply predefined labels to scenes, objects, and events as
per project guidelines.
● Ensure accuracy, consistency, and completeness of annotations across all assigned
video datasets.
● Work with team members to refine labeling guidelines and maintain alignment with
project goals.
● Report inconsistencies, ambiguities, or challenges in the video content or labeling
instructions.
● Meet daily or weekly quotas for labeling tasks while adhering to quality standards.
● Use labeling tools and software to complete tasks efficiently and effectively.
● Collaborate with cross-functional teams, including Team Manager and project
managers, to improve data annotation processes.

Scope of Work
● Analyzing videos provided in the AI Portal.
● Labeling incidents within the videos as confirm or false based on predefined criteria.
● Ensuring consistent and precise annotation to meet project requirements.
● The team shall work during normal service hours as per shift.
● If there is any off regular activity or any issue on AI dashboard, coordinate Team
Manager or Project Manager.
● Each resource shall perform Labeling based on the Quantitative Targets

Qualifications:
● Minimum High school diplom or equivalent.
● Basic computer skills, including proficiency in Microsoft Office applications.
● Ability to work independently and collaboratively in a team environment.
● Strong organizational and time management skills.
● Excellent attention to detail and accuracy

Note: If you don’t hear from us within 15 days, it may mean you have not been shortlisted this time. We genuinely appreciate your interest in Gurzu and encourage you to follow us for future openings that match your skills and experience.