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Annotation Specialist

Imerit Technology

Teletrabalho

BRL 120.000 - 160.000

Tempo integral

Ontem
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Resumo da oferta

A leading technology firm is searching for a Bounding Box Annotation Specialist to work remotely. This role involves ensuring high-quality annotation of visual elements through detailed review and adjustment of bounding boxes. Candidates should have attention to spatial detail and experience with visual annotation platforms. The position offers flexible hours of 6–8 hours per day at a competitive rate of $4 per hour. A laptop or desktop and stable internet connection are required for this role.

Qualificações

  • Experience using bounding box tools or visual annotation platforms.
  • Device: Laptop/Desktop, minimum screen size 14"; resolution 1366x768+ (FHD preferred).
  • Reliable internet connection required.

Responsabilidades

  • Review and adjust bounding boxes (±5 px tolerance).
  • Classify elements by object type and ensure transcriptions are correct.
  • Maintain high standards of precision and quality across complex image sets.

Conhecimentos

Attention to spatial detail
Object recognition
B1+ English proficiency
Experience with bounding box tools
Familiarity with cross-image matching
Descrição da oferta de emprego
Job Title

Bounding Box Annotation Specialist - Location: Remote

End Date: 1-Jan-2026

Role Summary

Join a high-volume image annotation initiative to ensure high-quality bounding boxes and labels for visual elements like logos, text, and objects. You'll validate spatial accuracy, correct captions, and ensure consistency across matched image pairs.

This is a completely work-from‑home opportunity. This position requires a commitment of 6–8 hours per day, and the compensation offered is $4 per hour.

Please note that you will need to have your own laptop / desktop along with a stable internet connection to perform the tasks effectively.

To move forward, we request you to complete the assessment using the link below.

Kindly ensure you take the test only from a laptop / desktop, as mobile devices are not supported.

Upon clearing the assessment, we will proceed with your onboarding at the earliest.

Key Responsibilities
  • Review and adjust bounding boxes (±5 px tolerance).
  • Add missing boxes, remove incorrect ones, and refine captions.
  • Classify elements by object type and ensure transcriptions are correct.
  • Match common objects between images using consistent object IDs.
  • Maintain high standards of precision and quality across complex image sets.
Requirements
  • Attention to spatial detail and object recognition.
  • Experience using bounding box tools or visual annotation platforms.
  • B1+ English proficiency to understand and correct object labels / text.
  • Familiarity with cross-image matching (assigning IDs).
  • Device: Laptop / Desktop, minimum screen size 14″; resolution 1366x768+ (FHD preferred).
  • Reliable internet connection.
Success Metrics
  • ≥98% critical error‑free rate (in 20% audited samples).
  • Passing gated qualification with 0% critical errors.
  • Compliance with detailed visual and text guidelines.
Assessment Link

We encourage you to complete the assessment soon, as we have limited vacancies for this project.

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