Annotation Specialist

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

Resumo da oferta

A leading technology firm is seeking a Bounding Box Annotation Specialist for a remote opportunity. The role involves high-volume image annotation, ensuring accurate bounding boxes and labels for visual elements. Candidates should have experience with bounding box tools and a strong focus on precision. The position requires a commitment of 6–8 hours per day, with a compensation rate of $4 per hour, alongside the need for a reliable internet connection and suitable device.

Qualificações

• Experience using bounding box tools or visual annotation platforms.
• Device: Laptop/Desktop with minimum 14″ screen and resolution 1366x768+.
• Reliable internet connection.

Responsabilidades

• Review and adjust bounding boxes.
• Add missing boxes and refine captions.
• Classify elements by object type.

Conhecimentos

Attention to spatial detail

Object recognition

B1+ English proficiency

Ferramentas

Bounding box tools

Visual annotation platforms

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.