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Live Video Data Annotator

  • Toronto, ON, Canada

Full-time

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Job details

Job type
Full-time
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Posting language
English
Posted

Original job description

ABOUT THE ROLE

Live Video Data Annotator, 24/7 Operations

A large auto manufacturer is hiring Live Video Data Annotators for its 24/7

operations team. You review live and recorded camera footage and vehicle data,

label what you see, confirm whether alerts are real and escalate what needs a

second look. The work suits people with sharp focus, strong visual reasoning and

calm, quick judgment.

WHAT YOU WILL DO

Review live camera and sensor data and label objects, events and road

conditions

Tell real road hazards from camera issues and false alarms

Flag safety and security events for escalation

Confirm reported events as true or false positives and record changes in road

conditions

Escalate unresolved cases to a senior specialist within agreed time limits

Meet accuracy and turnaround targets under a structured quality review

WHAT YOU BRING

Sustained attention over long review periods and fast anomaly spotting

Spatial reasoning: reading multi-angle video and map data

Labeling accuracy and consistency against detailed guidelines

Decisiveness under ambiguity in varied conditions

Technical interface proficiency and consistent execution of procedures

MINIMUM REQUIREMENTS

1+ year of data labeling, annotation, analytical or technical work

experience; a STEM or geography degree is a plus

Strong attention to detail and comfort with long screen-based

review

Fluent English plus the official language of the country

Quick, careful decisions with incomplete information

Able to work rotating 24/7 shifts and pass a background check

More about this job

Responsibilities

Review live and recorded camera, sensor, and vehicle data to label objects, events, and road conditions, and distinguish genuine hazards from camera issues or false alarms. Confirm reported events, document changes, escalate unresolved or safety-related cases, and meet accuracy and turnaround targets.

Requirements

Candidates need at least one year of data labeling, annotation, analytical, or technical experience; a STEM or geography degree is a plus. They must have strong attention to detail, visual and spatial reasoning, fluent English and the country's official language, sound judgment with incomplete information, and availability for rotating 24/7 shifts, as well as pass a background check.

Skills

  • Sustained Attention
  • Visual Reasoning
  • Spatial Reasoning
  • Data Labeling
  • Annotation Accuracy
  • Anomaly Detection
  • Decision-Making Under Ambiguity
  • Attention to Detail
  • Camera and Sensor Data Review
  • Map Data Interpretation
  • Quality Review
  • Escalation Judgment
  • Technical Interface Proficiency
  • Procedure Compliance
  • English Fluency

Visa sponsorship

Not detected in the job text

Categories

  • Data & Analytics
  • Transportation
  • Security & Safety

Keywords

  • Live Video Data Annotation
  • Data Labeling
  • Camera Footage
  • Sensor Data
  • Vehicle Data
  • Object Labeling
  • Event Labeling
  • Road Conditions
  • Road Hazards
  • False Positives
  • Safety Events
  • Security Events
  • Anomaly Detection
  • Multi-Angle Video
  • Map Data
  • Quality Review
  • Accuracy Targets
  • Turnaround Targets
  • Escalation Procedures
  • 24/7 Operations
  • Rotating Shifts
  • Background Check
  • STEM
  • Geography

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