Data Labeling Specialist

About Zipline

Zipline operates the largest autonomous drone delivery network globally, dedicated to equitable access to essential supplies such as food, medicine, and vital goods, ensuring timely deliveries anywhere and anytime. Their comprehensive system supports major healthcare providers, governments, retailers, and businesses worldwide by facilitating rapid and reliable transport that saves lives, lowers emissions, and enhances economic opportunities.

With over 140 million commercial autonomous miles flown and millions of successful deliveries, Zipline is reshaping supply chain logistics while easing congestion and improving people's time efficiency.

Role Overview and Responsibilities

The Data Labeling Specialist plays a pivotal role in supporting Zipline’s autonomous delivery systems by meticulously converting raw sensor data into trusted datasets essential for machine learning model training and validation. The specialist consistently applies annotation guidelines, spots data irregularities and edge cases, and provides actionable feedback to the Autonomy teams, ensuring high-quality perception development.

• Annotate and review data from various sensor sources using both proprietary and third-party tools to generate detailed metadata for machine learning tasks.
• Master different sensor data pipelines and strictly follow labeling standards to produce comprehensive, precise datasets.
• Detect anomalies, ambiguous cases, and repetitive challenges within data, recommending enhancements to labeling processes.
• Report issues related to data quality, tooling inefficiencies, or system faults that may impact annotation accuracy or workflow throughput.
• Consistently deliver accurately labeled datasets on schedule to meet critical algorithm development deadlines.
• Offer structured input to improve the usability, effectiveness, and quality of labeling tools and procedures.
• Assist the Autonomy teams with additional projects as required.

Qualifications and Skills

• Bachelor’s degree in an engineering discipline or completion of all final academic requirements with graduation pending.
• Experience in data reviewing and annotation with a strong commitment to applying detailed guidelines accurately.
• Proven ability to handle complex tasks or projects while maintaining meticulous and organized records.
• Exceptional attention to detail with endurance for consistent, methodical work over long durations.
• Proficient English communication skills, both spoken and written.

Additional Information

• Legal authorization to work in Rwanda is mandatory.
• The role operates on a 24/7 rotating shift schedule, which may include early mornings, nights, weekends, and public holidays.
• A minimum commitment of 40 hours per week is required.
• Zipline promotes an inclusive, equal opportunity work environment, encouraging candidates from diverse and underrepresented backgrounds to apply.