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Computer Vision Engineer - Crowd Flow Analytics

Noah Greene

Part-time · Mid-level

About the role

We help venues understand queue pressure and crowd flow without identifying individuals. Our customers care about operational signals: wait time, congestion zones, entry bottlenecks, and staffing needs. We need part-time CV help to improve detection and tracking in crowded scenes, review edge cases, and help us keep privacy constraints built into the pipeline.

Requirements

Technical stack needed for this mission.

  • - Experience with people detection or tracking
  • - Python, OpenCV, and deep learning basics
  • - Comfortable designing privacy-preserving visual analytics
  • - Available for regular weekly collaboration

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Contract Type

Hourly rate

Level

Mid-level

Budget Range

$55 - $85 / hour

Duration

Ongoing

AI Expertise

Computer Vision & Deep Learning computer vision

Skills

computer vision python pytorch opencv

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