Tech Stack

Description

You will work as part of a collaborative team to label video, text, and overhead imagery at a pace that meets client deliverable deadlines and quality requirements. Cultivate expertise in imagery analysis and gain basic machine learning knowledge to understand how labels are utilized by our algorithms.

Requirements

• Undergraduate degree in International Affairs, Political Science, Public Policy, Data Engineering or Data Science
• Demonstrated analytical skills
• Detail-oriented and able to work in a fast-paced environment
• Strong computer skills and ability to learn quickly
• Prior experience with QGIS or Python preferred but not required

Responsibilities

• Identify, analyze, and label objects in overhead imagery, video, and text
• Proactively communicate with project leadership on labeling and data workflows
• Cultivate expertise in imagery analysis and basic machine learning knowledge