Data Annotator

Role & responsibilities

Preferred candidate profile

Image, Video and text annotators contribute to the development of AI and machine learning systems by providing accurately labeled datasets, enabling the training and evaluation of algorithms for various applications such as object detection, image classification, semantic segmentation, and more.
Should have two years of experience in labeling or annotating various elements within images/videos or visual dataShould have annotated temporal information within videos, such as tracking the movement or trajectory of objects, identifying key frames, or annotating specific actions or events occurring over time.Should have annotated images by marking and labeling specific objects, regions, or features within the images. This may involve drawing bounding boxes around objects, highlighting points of interest, or segmenting objects using polygons or masksEnsure the quality and accuracy of annotated data by reviewing and verifying annotations for correctness and consistencyFollow and adhere to specific annotation guidelines, instructions, or specifications provided by the project or company. This includes understanding and applying domain-specific knowledge, as well as adapting to evolving requirements.Collaborate with team members, project managers, or stakeholders to address any questions, concerns, or issues related to the annotation process. Effective communication is essential for ensuring consistent and accurate annotations.Experience working on complex annotation tasks including 3D lidar labeling.Excellent written and verbal communication skills to convey technical challenges and updates.Report any data quality issues or tool-related challenges to the project leads in a timely manner.

Client-Oracle

Location- Bangalore.