Rwanda-Based Data Annotation Specialist (Full-Time)

Lipline stands as the world’s largest and most seasoned drone delivery service, dedicated to ensuring equitable access to food, medicine, and essential goods for all people, regardless of location. Our organization designs, constructs, and operates the planet’s most extensive autonomous logistics network, delivering critical supplies with speed and reliability. Currently, Lipline’s operations span four continents, with a delivery executed somewhere in the world every 30 seconds, and we have successfully completed millions of deliveries—ranging from blood and vaccines to medical equipment, food, and retail goods. Our esteemed clientele includes leading healthcare systems, governments, retailers, restaurants, and global enterprises that depend on us to enhance supply chain efficiency, reduce emissions, foster economic growth, and enable rapid point-to-point deliveries. While the drone itself represents just 15% of our comprehensive system, the remaining infrastructure ensures seamless, dependable global operations, strengthening supply chains, alleviating congestion, and restoring valuable time to people’s lives. With over 140 million commercial autonomous miles flown safely, Lipline is transforming access to healthcare, consumer goods, and food worldwide. Operating at a global scale, we seek pragmatic problem solvers who excel in dynamic, real-world challenges and embrace rapid growth. Our team thrives on building impactful systems that directly improve lives and pioneering the future of logistics. We value individuals who approach problems from first principles, embrace adversity, and achieve the extraordinary at unprecedented speeds. In your role, you will contribute to Lipline’s autonomous delivery systems by working with perception data that enables our aircraft to interpret their surroundings—such as detecting other aircraft, identifying ground obstacles, and ensuring precise deliveries. As a Data Labeling Specialist, you will play a pivotal role in supporting Lipline’s global operations by meticulously labeling and reviewing sensor data, transforming raw operational inputs into high-quality training and evaluation datasets for machine learning. You will adhere to annotation guidelines with precision, recognize edge cases and data anomalies, and provide clear, actionable feedback to Autonomy teams to maintain the integrity of perception development through accurate, reliable data. Your responsibilities will include labeling and reviewing data from multiple sensor streams using both internal and external tools, adding the necessary metadata for machine-learning applications. You will develop expertise across diverse sensor-data workflows, consistently applying annotation guidelines to produce datasets that are accurate, thorough, and of the highest quality. Additionally, you will identify data irregularities, edge cases, recurring ambiguities, and opportunities to refine

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