NIR-YU
201 - 500 employees
🎯 Recruiter
👥 HR Tech
🏢 Enterprise
Recruitment • HR Tech • Enterprise
NIR-YU is a company dedicated to empowering small and medium enterprises (SMEs) by providing tailored nearshore staffing solutions. They focus on strategic recruitment of skilled nearshore professionals, offering cost-plus pricing for transparency and affordability. Their services include staff augmentation, staff leasing, talent acquisition, and employer of record (EoR), aimed at helping SMEs gain access to a skilled workforce from Latin America. By facilitating the hiring of remote talent and ensuring compliance with local regulations, NIR-YU allows businesses to enhance their teams with English-speaking professionals, optimize costs, and focus on growth strategies without the burden of setting up foreign entities.
Computer Vision Data Annotator
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🔥 0 minutes ago
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NIR-YU
201 - 500 employees
🎯 Recruiter
👥 HR Tech
🏢 Enterprise
Recruitment • HR Tech • Enterprise
NIR-YU is a company dedicated to empowering small and medium enterprises (SMEs) by providing tailored nearshore staffing solutions. They focus on strategic recruitment of skilled nearshore professionals, offering cost-plus pricing for transparency and affordability. Their services include staff augmentation, staff leasing, talent acquisition, and employer of record (EoR), aimed at helping SMEs gain access to a skilled workforce from Latin America. By facilitating the hiring of remote talent and ensuring compliance with local regulations, NIR-YU allows businesses to enhance their teams with English-speaking professionals, optimize costs, and focus on growth strategies without the burden of setting up foreign entities.
📋 Description
• Annotate video clips of intersections using CVAT, our annotation platform. • Review and correct AI-generated pre-labels rather than drawing from scratch. • Review auto-generated bounding boxes across object classes (pedestrians, vehicles, etc.). • Apply tracking corrections when objects are occluded or conditions change. • Flag edge cases for engineer review.
🎯 Requirements
• Prior experience with CVAT, specifically with object tracking and interpolation workflows. • Comfortable working with video data across varied lighting and weather conditions. • High tolerance for repetitive, detail-oriented work and take quality seriously. • Experience with YOLO-format datasets or prior computer vision annotation work is a strong plus.
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