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# Raspberry Pi + Web Developer for AI Kiosk (6-Hour On-Site Sprint, Coconut Grove)

- **Company:** Silver INC
- **Location:** Miami, FL, United States
- **Salary:** $156,000.0
- **Contract:** Temporary contract
- **Skills:** JavaScript (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Computer Vision, Software Debugging, Linux, Programming Tools, Web Development, Firefox, Linux Commands, Raspberry Pi, Kiosk Mode, Systems Integration, Web Applications, Web Technologies, Restful APIs
- **Published:** June 29, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=f5d44579e413dd26

## About the Role

Do you have experience in Web development?, Hands-on Raspberry Pi experience (provisioning, Linux command line, SSH, kiosk-mode setup). Comfort with the Linux camera/video stack (v4l2-ctl, USB webcam configuration). Working knowledge of web technologies (HTML/CSS/JavaScript) enough to read and debug an existing single-page app. Browser dev tools and console debugging. Git/GitHub.

Nice to have

Experience with kiosk or digital-signage deployments. Familiarity with MediaPipe or browser-based computer vision. Experience integrating web apps with REST APIs.

This could turn into ongoing work

I run several AI and Raspberry Pi projects out of this location. If this sprint goes well, there's steady project work available for the right person. I'm looking for someone reliable, sharp, and able to work independently, not just for one day but as a go-to for hardware and AI builds.

## Description

Set up and configure the Raspberry Pi 5 (Raspberry Pi OS, Firefox ESR kiosk mode, autostart on boot, display rotation to portrait). Get the USB webcam negotiating proper resolution on the Pi at the driver level (v4l2 / MJPEG configuration). Confirm browser-based face detection runs reliably on the Pi's hardware. Run the full flow end to end on the device: face detection, photo capture, live API call, on-screen results, QR handoff. Work from an existing setup script and validation checklist (both already written). Document what you did and flag anything that needs a follow-up.


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