Data Operator

About Us

Trusted by Fortune 10 companies and global enterprises, BeamUP delivers AI-powered autonomous data agents that analyze both structured and unstructured supply chain data. We empower retailers, logistics providers, 3PLs, and manufacturers to move beyond static dashboards—enabling real-time, automated decision-making across their operations.

Our Mission

Our mission is to help enterprise supply chain teams automate decisions, eliminate inefficiencies, and drive profitability by turning complex, disconnected data into actionable insights in seconds.

BeamUP is seeking a sharp and detail-oriented Data Operator to join our fast-paced Data Operations & Annotation team. This is a unique opportunity to work at the intersection of data, architecture, and AI—helping to shape the foundation of our intelligent supply chain platform.

In this role, you'll work hands-on with advanced internal tools to review and interpret architectural floor plans, identify critical components, and transform complex visual data into structured formats. Your work will directly fuel our AI models and data agents, powering real-time insights for global enterprise customers.

This role combines the precision of data annotation with the strategic thinking of data operations—ideal for someone looking to grow into a high-impact, data operations career in a cutting-edge tech company.

Responsibilities

• Document workflows and manage tasks to meet project deadlines.
• Annotate and label architectural datasets according to specifications.
• Collaborate with project managers, data scientists, and engineers to align on guidelines.
• Ensure high accuracy, consistency, and completeness of files and annotations.
• Identify and report inconsistencies and contribute to process improvements.
• Conduct quality control and peer reviews of annotated data.
  
  

• High attention to detail and strong organizational skills.
• Ability to follow complex, evolving instructions.
• Strong communication and teamwork skills.
• Comfort with annotation tools and digital platforms
• Proficiency in Excel
  
  

• Experience with data annotation (image, video, text, or 3D).
• Knowledge of supply chain, logistics, or facility operations
• Experience using task or project management tools (e.g., Jira, Monday, Trello)
• Understanding of quality assurance or data validation processes