Remote Computer Vision Annotator – Data Labeling Expert

About the role

The Computer Vision Annotator works remotely to create high‑quality labeled datasets that power computer‑vision and machine‑learning models. You will translate visual data into precise annotations, ensuring consistency and accuracy across large image and video collections.

Key responsibilities

• Draw bounding boxes, polygons, polylines and 3D cuboids around objects of interest.
• Place key points for pose estimation and create segmentation masks for pixel‑level labeling.
• Annotate point‑cloud and LiDAR data for autonomous‑vehicle and robotics applications.
• Interpret complex labeling taxonomies and refine guidelines in collaboration with data scientists.
• Use advanced features of tools such as CVAT, Label Studio, 3D Slicer, and Amazon SageMaker Ground Truth.
• Identify ambiguous cases, edge‑cases and potential biases, and report findings to improve model robustness.
• Contribute to best‑practice documentation, workflow optimizations and training materials for new annotators.
• Assist with basic data preparation tasks like image resizing and format conversion.

Required profile

• Minimum 2 years of experience in data annotation or quality assurance for computer‑vision projects.
• Strong attention to detail and ability to maintain high accuracy on repetitive tasks.
• Excellent written and verbal communication in English.
• Proven ability to work independently in a remote environment.

Required skills

• Hands‑on experience with CVAT.
• Hands‑on experience with Label Studio.
• Hands‑on experience with 3D Slicer.
• Hands‑on experience with Supervisely.
• Hands‑on experience with Amazon SageMaker Ground Truth.