Annotation Specialist

Imerit Technology; Teletrabalho; BRL 120.000 - 160.000; Tempo integral

Resumo da oferta

A technology services provider is offering a remote position for a Bounding Box Annotation Specialist. This role involves reviewing and adjusting bounding boxes, ensuring spatial accuracy, and matching objects across images. Candidates must have strong attention to detail, experience with annotation tools, and B1+ English proficiency. This position requires 6–8 hours of work per day and offers $4/hour. A stable internet connection and a laptop/desktop with specific requirements are necessary for this role.

Qualificações

• Strong attention to detail in spatial accuracy and object recognition.
• Experience with visual annotation platforms or bounding box tools.
• Ability to understand and correct object labels in English (B1+).

Responsabilidades

• Review and adjust bounding boxes with ±5 px tolerance.
• Add or remove boxes and refine captions for accuracy.
• Classify image elements by object type for consistency.
• Match objects across images using consistent IDs.
• Maintain high precision and quality in image annotation.

Conhecimentos

Attention to spatial detail

Experience using bounding box tools

B1+ English proficiency

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.