Annotation Specialist

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

Resumo da oferta

A leading annotation services provider is looking for a Bounding Box Annotation Specialist to work remotely. This role involves reviewing and adjusting image bounding boxes with a focus on accuracy and quality. Candidates should have attention to detail, experience with visual annotation platforms, and strong English proficiency. The job offers flexible hours, requiring 6–8 hours per day, with a compensation of $4 per hour. A reliable internet connection and a laptop/desktop are necessary.

Qualificações

• Attention to spatial detail and object recognition is critical.
• Experience with bounding box tools or visual annotation platforms is required.
• B1+ English proficiency is necessary for understanding object labels.

Responsabilidades

• Review and adjust bounding boxes with precision.
• Classify elements and ensure transcriptions are correct.
• Match common objects between images using consistent IDs.

Conhecimentos

Attention to spatial detail and object recognition

Experience using bounding box tools or visual annotation platforms

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.