Annotation Specialist

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

Resumo da oferta

A remote annotation services company is seeking a Bounding Box Annotation Specialist to ensure high-quality bounding boxes and labels for images. The role involves reviewing spatial accuracy, correcting captions, and matching objects between images. Candidates should have attention to detail and experience with visual annotation tools. A commitment of 6–8 hours per day and a minimum compensation of $4 per hour is offered. Reliable internet and a laptop/desktop are required.

Qualificações

• 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.
• Device: Laptop/Desktop, minimum screen size 14"; resolution 1366x768+.
• Reliable internet connection.

Responsabilidades

• Review and adjust bounding boxes (±5 px tolerance).
• Add missing boxes and remove incorrect ones.
• Classify elements by object type and ensure transcription correctness.
• Match common objects between images using consistent object IDs.
• Maintain high standards of precision across complex image sets.

Conhecimentos

Attention to spatial detail

Object recognition

B1+ English proficiency

Bounding box tools experience

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.