Job Title: Video Data Labeler and Annotator
Job Description:
We are seeking a detail-oriented Video Data Labeler and Annotator to join our team. As a Video Data Labeler and Annotator, you will play a crucial role in our data annotation and labeling processes, ensuring the accurate categorization and annotation of video content. Your work will contribute to the development and improvement of various computer vision and machine learning applications.
Responsibilities:
Labeling and Annotation: Accurately label and annotate video data based on established guidelines and project requirements. Identify and mark specific objects, actions, events, and attributes within the videos.
Quality Assurance: Perform quality checks to ensure the correctness and consistency of labeled and annotated data. Collaborate with the team to resolve discrepancies and maintain high-quality standards.
Data Organization: Maintain an organized system for managing labeled and annotated video data. Ensure proper documentation and categorization to facilitate easy retrieval and usage.
Workflow Optimization: Contribute to the development and improvement of labeling and annotation processes and workflows. Suggest ideas to increase efficiency and reduce errors.
Collaboration: Collaborate with cross-functional teams, including data scientists, machine learning engineers, and project managers, to understand project objectives and deliver accurate labeled and annotated data within specified timelines.
Communication: Provide regular updates on project progress, challenges, and insights to the project manager or team lead. Participate in team meetings and discussions to contribute to project success.
Continuous Learning: Stay updated with industry trends, labeling techniques, and tools. Seek opportunities to enhance skills and knowledge in computer vision, machine learning, and video analysis.
Hourly Range: $5.00-$25.00
Posted On: July 05, 2023 23:07 UTC
Category: Data Entry
Skills:Accuracy Verification, Error Detection
Skills: Accuracy Verification, Error Detection
Country: United States
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2023-07-06 05:07:56,
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