Annotation Specialist

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

Resumo da oferta

A remote tech company is looking for a Bounding Box Annotation Specialist to join a high-volume image annotation initiative. The role requires attention to spatial detail and proficiency in English to ensure accuracy in object labeling and matching. You will work remotely, reviewing and adjusting bounding boxes, classifying elements, and maintaining high standards of quality. Candidates must have their own laptop/desktop and a reliable internet connection, as this position demands 6–8 hours of work daily. The compensation is $4 per hour.

Qualificações

• Experience using bounding box tools or visual annotation platforms.
• Device: Laptop / Desktop, minimum screen size 14″; resolution 1366x768+ (FHD preferred).

Responsabilidades

• Review and adjust bounding boxes within ±5 px tolerance.
• Classify elements by object type and ensure transcriptions are correct.
• Maintain high standards of precision and quality across complex image sets.

Conhecimentos

Attention to spatial detail

Object recognition

B1+ English proficiency

Familiarity with bounding box tools

Reliable internet connection

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.