Key Responsibilities

- Annotate and label road images, videos, and survey data to support AI and computer vision model development.
- Review and classify road conditions, pavement defects, road assets, and infrastructure features as per defined annotation guidelines.
- Validate and cross-check AI-generated outputs against source imagery and predefined quality standards.
- Perform quality checks on annotated datasets to ensure accuracy, consistency, and completeness.
- Assist in road inventory, asset identification, and GIS-related data annotation activities.
- Identify and report annotation errors, inconsistencies, and unclear cases to the QA/engineering team.
- Follow project-specific annotation guidelines and maintain high levels of accuracy across datasets.
- Collaborate with Civil Engineering, AI, Product, and Quality Assurance teams to improve data quality and annotation workflows.
- Support data preparation and documentation for AI-driven road condition assessment and infrastructure monitoring solutions.
- Participate in training, calibration exercises, and continuous improvement of annotation processes.

📌 Data Annotator (Delhi)
🏢 RoadVision AI Private
📍 Delhi