Data Annotation Specialist

Responsibilities: - Annotate and label time-series, image, video and text data per project guidelines, using tools such as CVAT or Label Studio - Track progress across multiple concurrent projects, identify issues and suggest process improvements - Ensure quality and accuracy of annotated data via QC and validation against established standards - Assist in preparing annotated datasets for model training (organising and cleaning labelled data) - Collaborate with subject-matter experts, data scientists, ML engineers and project managers; maintain documentation Qualifications: - High-school diploma or Bachelor's degree in a relevant field, or equivalent professional experience - 2-5 years of relevant experience - Good understanding of annotation types (bounding boxes, polygons, segmentation, keypoints) - Hands-on experience with annotation platforms such as Label Studio, CVAT, Labelbox or Supervisely - Strong attention to detail; basic Excel/reporting skills, Python familiarity a plus