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