Full-Time | Remote | W-2 Employment | Temporary Help Power the Future of Artificial Intelligence At Volga Partners, we connect talented individuals with opportunities to contribute to the development and improvement of advanced Artificial Intelligence (AI) technologies. We're currently seeking detail-oriented, tech
About the role
Full-Time | Remote | W-2 Employment | Temporary
Help Power the Future of Artificial Intelligence
At Volga Partners, we connect talented individuals with opportunities to contribute to the development and improvement of advanced Artificial Intelligence (AI) technologies.
We're currently seeking detail-oriented, tech-savvy Data Annotation Specialists to support an exciting AI project focused on object detection and visual data annotation.
In this role, you'll help improve how AI systems recognize, identify, and interpret objects within visual datasets. Your work will involve accurately labeling and annotating objects according to established project guidelines, ensuring the consistency and quality of data used to train and evaluate AI models.
This is a temporary, full-time, W-2 employment opportunity offering a consistent 40-hour workweek, a structured schedule, and the opportunity to gain hands-on experience supporting AI technology.
We're looking for individuals who are comfortable working with computers, have experience with data annotation or object detection, and can maintain a high level of accuracy while performing detailed, repetitive tasks.
Key Responsibilities
Perform Object Detection Annotation: Identify, label, and annotate objects within visual datasets using designated annotation tools and project-specific instructions.
Ensure Annotation Accuracy: Apply established labeling standards to ensure annotations are accurate, complete, and consistent across assigned datasets.
Follow Project Guidelines: Adhere to detailed annotation instructions, classification criteria, and quality standards to maintain reliable and standardized results.
Review and Validate Annotations: Evaluate completed annotations for accuracy, identify labeling errors or inconsistencies, and make corrections as needed. …
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