About the Internship
We are looking for high-performing data annotator with a civil engineering background to work on an infrastructure-focused computer vision project. The role involves annotating images and videos of road and infrastructure assets captured post-construction and post-service.This is a one-month engagement, with the possibility of extension based on annotation quality, speed, and availability. The project demands B2B-grade annotation accuracy, attention to structural detail, and the ability to work with defined annotation guidelines and tools.
Selected intern's day-to-day responsibilites include:
1. Annotate images and videos of road and infrastructure assets (e.g., pavements, markings, signs, defects, utilities, structures)
2. Follow project-specific annotation guidelines with high precision
3. Identify, label, and classify infrastructure elements accurately using annotation tools
4. Maintain consistent quality across large volumes of data
5. Meet daily productivity and quality benchmarks and ensure timely delivery of assigned batches within the project timeline
6. Flag unclear cases, edge scenarios, or data inconsistencies proactively
7. Participate in training and qualification test before starting live tasks
8. Collaborate with QC reviewers and project leads for feedback and quality improvement
Number of Openings
20 openingsPerks of this Internship
Certificate Recommendation letter
Other Requirements
1. are available for the work from home job/internship
2. have relevant skills and interests
3. can start the work from home job/internship between 13th Dec'25 and 17th Jan'26
4. are available for duration of 1 month
5. have already graduated or are currently in any year of study
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