
11 - 50 employees
Founded 2015
🤖 Artificial Intelligence
🛒 Retail
🏢 Enterprise
💰 $62.5M Series B on 2022-05
Artificial Intelligence • Retail • Enterprise
Mashgin is a leading company utilizing computer vision technology to revolutionize the checkout experience across diverse industries. Their AI-powered checkout solutions enable users to swiftly and accurately ring up items by assessing product characteristics such as shape, size, color, texture, and reflection, thereby reducing checkout times significantly. Analyses indicate that Mashgin's self-checkout systems can enhance customer satisfaction and increase revenue, making them ideal for places like convenience stores, stadiums, cafes, higher education institutions, and healthcare facilities. With over 800 million transactions processed and a user base spread across 4,000 locations, Mashgin's technology is paving the way for faster, hassle-free checkouts worldwide.
🔥 13 minutes ago
🗻 New Hampshire – Remote
💵 $15 / hour
⏱ Part Time
🟢 Junior
🟡 Mid-level
🤖 Artificial Intelligence
🚫👨🎓 No degree required
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11 - 50 employees
Founded 2015
🤖 Artificial Intelligence
🛒 Retail
🏢 Enterprise
💰 $62.5M Series B on 2022-05
Artificial Intelligence • Retail • Enterprise
Mashgin is a leading company utilizing computer vision technology to revolutionize the checkout experience across diverse industries. Their AI-powered checkout solutions enable users to swiftly and accurately ring up items by assessing product characteristics such as shape, size, color, texture, and reflection, thereby reducing checkout times significantly. Analyses indicate that Mashgin's self-checkout systems can enhance customer satisfaction and increase revenue, making them ideal for places like convenience stores, stadiums, cafes, higher education institutions, and healthcare facilities. With over 800 million transactions processed and a user base spread across 4,000 locations, Mashgin's technology is paving the way for faster, hassle-free checkouts worldwide.
• Promote Mashgin’s Touchless Checkout System in New Hampshire. • Show people how to use the technology and debug any issues that arise. • Work part time, flexible hours, and take time off during holidays.
• 2+ years of experience labeling data for computer vision, robotics, autonomous vehicles, or medical imaging. • Exceptional attention to detail and high tolerance for repetitive, precision-oriented work. • Experience with annotation tools such as CVAT, Labelbox, SuperAnnotate, Scale, or in-house tooling. • Comfort following detailed written guidelines and documenting ambiguous cases instead of guessing. • Strong written communication for clear, structured QA reports and Slack updates. • Comfort working with images and video from physical devices, and reasoning about visual edge cases.
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