Computer Vision Annotator (Remote)

About the role

We are looking for a Computer Vision Annotator to join our remote team and help create high‑quality labeled datasets for machine‑learning models. You will work with image and video data, applying precise annotations that enable object detection, classification, segmentation and 3‑D perception tasks.

Key responsibilities

• Draw accurate bounding boxes, polygons, polylines and key‑point markers on images and video frames.
• Create 3‑D cuboids and annotate point‑cloud data for LiDAR and robotics applications.
• Perform semantic and instance segmentation, labeling every pixel as required.
• Interpret detailed labeling taxonomies and collaborate with project managers and data scientists to refine guidelines.
• Use annotation platforms such as CVAT, Label Studio, 3D Slicer or Amazon SageMaker Ground Truth.
• Identify ambiguous cases, edge‑cases and potential dataset biases, and report findings.
• Contribute to workflow optimizations, best‑practice documentation and training of new annotators.
• Assist with basic data preparation tasks like image resizing and format conversion.

Required profile

• At least 2 years of hands‑on experience in computer‑vision data annotation or quality assurance.
• Strong attention to detail and ability to maintain consistency across large volumes of data.
• Excellent written and verbal communication in English.

Required skills

• Proficiency with annotation tools: CVAT, Label Studio, 3D Slicer, Supervisely, Amazon SageMaker Ground Truth.
• Experience with bounding‑box, polygon, key‑point, 3‑D cuboid and segmentation mask techniques.
• Familiarity with computer‑vision concepts such as object detection, image classification, LiDAR and point clouds.