Computer Vision Annotator

About the role

The Computer Vision Annotator will work remotely to create high‑quality labeled datasets that power computer‑vision and machine‑learning models. You will annotate images and videos, ensuring precise bounding boxes, polygons, key points, 3D cuboids and segmentation masks that meet project specifications.

Key responsibilities

• Draw accurate bounding boxes, polygons, polylines and 3D cuboids around objects of interest.
• Place key points for pose estimation and create pixel‑level segmentation masks.
• Annotate point‑cloud and LiDAR data for autonomous‑vehicle and robotics applications.
• Interpret complex labeling taxonomies and collaborate with data scientists to refine guidelines.
• Use advanced features of annotation platforms such as CVAT, Label Studio, 3D Slicer and Amazon SageMaker Ground Truth.
• Identify ambiguous cases, edge cases and potential dataset biases, and report findings.
• Contribute to best‑practice documentation, workflow optimisation and training of new annotators.

Required profile

• Minimum 2 years of experience in data annotation or quality assurance for computer‑vision projects.
• Strong attention to detail and commitment to consistent, high‑precision output.
• Excellent written and verbal communication skills in English.
• Ability to follow and document detailed annotation workflows.

Required skills

• Proficiency with CVAT.
• Proficiency with Label Studio.
• Proficiency with 3D Slicer.
• Proficiency with Amazon SageMaker Ground Truth.
• Proficiency with Supervisely.