Project-Based Data Annotation Specialist – TreeD Studio

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Overview
AspiraGlobal is looking for detail-oriented Project-Based Data Annotation Specialists to support an international road-scene data annotation project. The work involves annotating road imagery using TreeD Studio, with a focus on Lane Delimiter and Road Edge annotation.

This is a project-based opportunity. Initial candidates will complete a practical assessment, with project work allocated based on quality, performance, and available project volume.

Key Responsibilities

• Perform accurate image annotation using the TreeD Studio platform

• Create Polygon annotations for road lane delimiters

• Create Road Edge annotations using the required line/polyline workflow

• Apply the required attributes to annotated objects and road features

• Maintain consistent INSTANCE_ID values across image sequences

• Apply the correct LINE_ID based on the position of the lane or road edge relative to the ego vehicle

• Correctly identify and annotate road markings, lane boundaries, curbs, guardrails, traffic cones, barriers, vegetation, and other applicable road-edge features

• Correctly handle gaps, occlusions, visible boundaries, and other special conditions according to the project guidelines

• Review completed annotations for accuracy and consistency before submission

• Follow detailed project instructions and maintain required annotation quality

Requirements

• Excellent attention to detail and visual accuracy

• Strong ability to follow detailed technical instructions

• Comfortable working with computer-based annotation tools

• Good visual and spatial awareness

• Ability to perform repetitive image-based tasks while maintaining consistent quality

• Reliable computer and internet connection

• Ability to work independently in a remote environment

• Previous experience in data annotation, image labeling, LiDAR, computer vision, AI/ML data, or similar work is an advantage

• Experience with Polygon or Polyline annotation tools is an advantage

• Must be legally eligible to work in the Philippines

Project Assessment

• Shortlisted candidates will complete a practical annotation assessment

• Assessment will evaluate accuracy, attention to detail, understanding of instructions, consistency, and quality

• Successful candidates may be selected for ongoing project work based on project requirements and available volume

Work Setup & Project Structure

• Remote project-based work

• Philippines-based candidates

• Work performed using TreeD Studio

• Initial project scope involves Lane Delimiter and Road Edge annotation

• Project allocation will depend on demonstrated quality and available production volume

• Additional project opportunities may become available based on performance and client requirements

Important Compensation Information

• This is a project-based engagement rather than a conventional monthly salaried position

• Compensation is based on completed project work and will be discussed with candidates selected for the project

• Work allocation and compensation are subject to project requirements, quality acceptance, and available volume