Annotation Specialist

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

Resumo da oferta

A remote annotation company is seeking a Bounding Box Annotation Specialist to ensure high-quality bounding boxes and labels for images. The role involves reviewing and adjusting bounding boxes, ensuring spatial accuracy, and matching objects across images. Candidates should have strong attention to detail, experience with annotation tools, and proficient English skills. This position requires a commitment of 6-8 hours per day with a payment of $4 per hour.

Qualificações

• Strong attention to detail for spatial accuracy.
• Experience using visual annotation platforms.
• Ability to understand and correct object labels in English.

Responsabilidades

• Review and adjust bounding boxes for accuracy.
• Add or remove boxes and refine captions as needed.
• Match common objects between images using IDs.

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.