Data Annotator

Posted 10hrs ago

Employment Information

Education
Salary
Experience
Job Type

Report this job

Job expired or something wrong with this job?

Job Description

Video annotator at Expedock, a workforce augmentation platform, labeling real-world footage for AI training. Reviewing objects, actions, events, and visual details accurately.

Responsibilities:

  • Review video clips and identify relevant objects, people, actions, events, and visual details
  • Annotate and label video content according to project-specific guidelines
  • Follow established instructions to maintain annotation accuracy and consistency
  • Review completed annotations and correct errors or inconsistencies
  • Flag unclear content or cases requiring further review
  • Meet project deadlines and productivity targets while maintaining quality standards
  • Adapt to updated annotation guidelines and project requirements

Requirements:

  • Strong attention to detail and ability to identify relevant information in video content
  • Good comprehension and ability to follow detailed instructions
  • Strong observational and analytical skills
  • Basic computer skills and ability to work with online tools and platforms
  • Ability to work independently and manage repetitive, detail-focused tasks
  • Reliable internet connection and suitable work-from-home setup
  • Good written English comprehension
  • Candidate-provided laptop or desktop computer
  • Intel Core i5, AMD Ryzen 5, Apple M1, or equivalent processor
  • At least 8 GB RAM
  • At least 10 GB available storage
  • Windows 10 or a supported macOS version compatible with required annotation tools
  • Stable primary internet connection targeting at least 50 Mbps
  • Reliable backup internet connection capable of supporting video playback and annotation tasks; 50 Mbps preferred
  • Device must be in good working condition and capable of smoothly playing assigned video files while running required annotation tools

Benefits:

  • Remote work / work from home
  • Full-time or part-time opportunities, depending on project availability
  • Gain experience contributing to AI training and evaluation projects
  • Apply existing skills while learning new tools and workflows