Annotation Program Manager

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Logo of Gather AI

Gather AI

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.

📋 Description

• 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.

🎯 Requirements

• 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.

🏖️ Benefits

• Health insurance • 401(k) matching • Flexible work hours • Paid time off • Remote work options

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