We are looking for an attentive and responsible Data Labeller who will work with video data for training computer vision models and machine learning algorithms.The main task is high-quality labeling of video materials accordingly to establishedguidelines and project standards.This position involves working with large volumes of video data, high concentration ofattention and strict adherence to instructions.Primary responsibilities:Video markup (bounding boxes, segmentation, object tracking, even
We are looking for an attentive and responsible Data Labeller who will work with video data for training computer vision models and machine learning algorithms.
The main task is high-quality labeling of video materials accordingly to established
guidelines and project standards.
This position involves working with large volumes of video data, high concentration of
attention and strict adherence to instructions.
Primary responsibilities:
- Video markup (bounding boxes, segmentation, object tracking, event classification, etc.)
- Quality control and validation of already marked data
- Adherence to instructions, quality standards and deadlines
- Identification of anomalies or incorrect data
- Interaction with the Data/ML team to specify marking criteria
- Maintaining basic reporting on work performed
Requirements:
- Experience with data marking (preferably video or images)
- Attention to details and the ability to work with repetitive tasks
- Understanding basic principles of computer vision will be an advantage
- Ability to work under clear instructions
- Basic PC and web tools skills
- Self-organization and responsibility
Experience with annotation tools (CVAT, Labelbox, Supervisely, etc.)We offer:
- Work on real AI/ML products
- Pre-launch training
- Technical support teams
- The possibility of professional development in the direction of Data/ML