
11 - 50 employees
Founded 2018
🤖 Artificial Intelligence
🚗 Transport
🔧 Hardware
💰 $10M Series A on 2022-10
Artificial Intelligence • Transport • Hardware
Gather AI is a company specializing in automated inventory monitoring solutions using AI-powered drones. They enhance supply chain visibility and warehouse efficiency by offering real-time inventory intelligence, significantly reducing human error and inventory shrinkage. Their autonomous drones facilitate automated data collection and analysis, enabling fast and effective decision-making with increased productivity and accuracy. Gather AI serves industries such as 3PL, manufacturing, retail, and food and beverage, providing a modern approach to warehouse management through innovative technology.
🔥 0 minutes ago
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11 - 50 employees
Founded 2018
🤖 Artificial Intelligence
🚗 Transport
🔧 Hardware
💰 $10M Series A on 2022-10
Artificial Intelligence • Transport • Hardware
Gather AI is a company specializing in automated inventory monitoring solutions using AI-powered drones. They enhance supply chain visibility and warehouse efficiency by offering real-time inventory intelligence, significantly reducing human error and inventory shrinkage. Their autonomous drones facilitate automated data collection and analysis, enabling fast and effective decision-making with increased productivity and accuracy. Gather AI serves industries such as 3PL, manufacturing, retail, and food and beverage, providing a modern approach to warehouse management through innovative technology.
• Own day-to-day management of our annotation vendor relationship, including workload planning, throughput monitoring, and SLA management. • Coordinate annotation batches, scheduling, and delivery timelines across multiple production programs. • Monitor annotation quality and continuously improve labeling accuracy through structured QA processes. • Develop, maintain, and improve annotation SOPs, taxonomies, and documentation. • Build and maintain Python-based workflows for annotation data preparation, API integrations, reporting, and validation. • Partner with ML teams to prioritize annotation work that maximizes model performance. • Track work across Jira and communicate project status, risks, and capacity needs to stakeholders. • Drive operational improvements that reduce annotation turnaround time while maintaining high quality.
• 3–6 years of experience in data operations, annotation program management, ML data engineering, or a closely related role • Experience managing an external annotation vendor operating under production SLAs • Strong Python programming skills for data preparation and API integrations • Experience authoring annotation guidelines or standard operating procedures • Understanding of data privacy and confidentiality requirements when working with customer operational data.
• Health insurance • 401(k) matching • Flexible work hours • Paid time off • Remote work options
Apply Now🕒 July 9
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