Data Labeling Specialist, Rwanda [Full Time]
Zipline
kigali, rwanda · Ruanda, Tanzania
Posted on Mar 11, 2026
About Zipline
Zipline is the world’s largest and most experienced drone delivery service. We are on a mission to serve all humans equally by ensuring access to food, medicine and essential goods anytime, anywhere. We design, build, and operate the world’s largest autonomous logistics system, delivering critical supplies quickly and reliably. Today, Zipline operates on four continents, makes a delivery somewhere in the world every 30 seconds, and has completed millions of deliveries to date, including blood, vaccines, medical supplies, food, and retail products.
Our customers include the world’s largest and most prominent healthcare systems, governments, retailers, restaurants and global businesses who rely on us to save lives, reduce emissions, increase economic opportunity, and provide delivery from point A to point B as fast as possible. The drone is only 15% of what we’ve built to enable seamless, reliable, global operations.
Our system strengthens supply chains, reduces congestion, and gives people time back. With more than 140 million commercial autonomous miles safely flown, Zipline is redefining access to healthcare, consumer products, and food across the globe.
We operate at a global scale and are looking for practical problem solvers who thrive on real-world challenges and rapid growth. Our team is motivated by building systems that have a direct, meaningful impact on people’s lives and by scaling the future of logistics. We are seeking people who sculpt from first principles, enjoy facing adversity, and can do the impossible at record breaking speeds.
About You And The Role
As a Data Labeling Specialist, you’ll play a key role in supporting Zipline’s global operations by providing data labeling coverage to ensure continuous, high-quality data processing. You’ll work alongside the broader Autonomy team to review and label data, adding critical contextual metadata for machine learning applications.
Our Perception systems rely on accurately labeled data to power safety-critical capabilities such as avoiding other aircraft, detecting ground-based obstacles, as well as ensuring safe and precise deliveries. Using internal and external tools, you’ll work across diverse data types and tasks, identifying patterns, outliers, and system issues. Success in this role requires exceptional attention to detail and methodical thoroughness.
What You'll Do
We value diversity at Zipline and welcome applications from those who are traditionally underrepresented in tech. If you like the sound of this position but are not sure if you are the perfect fit, please apply!
Please Note
We have received reports stating that certain individuals are reaching out to people under false pretenses, claiming to be Zipline employees, affiliates, agents, or representatives. They may seek to gain access to your personal information or to acquire money from you by offering fictitious employment opportunities or by claiming that they are contacting you on Zipline’s behalf.
Genuine Zipline employees or representatives will never ask you for money or payment in exchange for employment opportunities or other related services. Any such offer of employment or any other service in exchange for fees that claims to be from us is deceitful and part of a fraud.
If you believe you have been targeted by a fraudulent party, we ask that you immediately get in touch with us via email at security@flyzipline.com upon receiving a suspicious offer or claim.
Zipline is the world’s largest and most experienced drone delivery service. We are on a mission to serve all humans equally by ensuring access to food, medicine and essential goods anytime, anywhere. We design, build, and operate the world’s largest autonomous logistics system, delivering critical supplies quickly and reliably. Today, Zipline operates on four continents, makes a delivery somewhere in the world every 30 seconds, and has completed millions of deliveries to date, including blood, vaccines, medical supplies, food, and retail products.
Our customers include the world’s largest and most prominent healthcare systems, governments, retailers, restaurants and global businesses who rely on us to save lives, reduce emissions, increase economic opportunity, and provide delivery from point A to point B as fast as possible. The drone is only 15% of what we’ve built to enable seamless, reliable, global operations.
Our system strengthens supply chains, reduces congestion, and gives people time back. With more than 140 million commercial autonomous miles safely flown, Zipline is redefining access to healthcare, consumer products, and food across the globe.
We operate at a global scale and are looking for practical problem solvers who thrive on real-world challenges and rapid growth. Our team is motivated by building systems that have a direct, meaningful impact on people’s lives and by scaling the future of logistics. We are seeking people who sculpt from first principles, enjoy facing adversity, and can do the impossible at record breaking speeds.
About You And The Role
As a Data Labeling Specialist, you’ll play a key role in supporting Zipline’s global operations by providing data labeling coverage to ensure continuous, high-quality data processing. You’ll work alongside the broader Autonomy team to review and label data, adding critical contextual metadata for machine learning applications.
Our Perception systems rely on accurately labeled data to power safety-critical capabilities such as avoiding other aircraft, detecting ground-based obstacles, as well as ensuring safe and precise deliveries. Using internal and external tools, you’ll work across diverse data types and tasks, identifying patterns, outliers, and system issues. Success in this role requires exceptional attention to detail and methodical thoroughness.
What You'll Do
- Become an expert in multiple sensor data streams, identifying issues, edge cases, and opportunities to improve labeling and review processes
- Use internal tools to label data and provide feedback to improve tool efficiency and usability
- Deliver high quality labeled data on a regular cadence to meet critical timelines and keep algorithm development on track
- Work with the Autonomy teams on various projects as needed.
- Bachelor’s degree in an engineering field, or have completed all academic requirements including final year coursework and capstone presentations, with graduation pending
- Experience reviewing and labeling data
- Experience managing complex tasks and projects
- Ability to maintain a high level of attention to detail over extended periods of time
- Strong verbal and written communication skills in English.
- Must have the legal right to work in Rwanda
- This position is expected to primarily operate during daytime hours; however, candidates must be flexible to work a rotating shift schedule, including nights, weekends, and public holidays as required.
- Available to work a minimum of 40 hours per week.
- Employment type: Full Time.
We value diversity at Zipline and welcome applications from those who are traditionally underrepresented in tech. If you like the sound of this position but are not sure if you are the perfect fit, please apply!
Please Note
We have received reports stating that certain individuals are reaching out to people under false pretenses, claiming to be Zipline employees, affiliates, agents, or representatives. They may seek to gain access to your personal information or to acquire money from you by offering fictitious employment opportunities or by claiming that they are contacting you on Zipline’s behalf.
Genuine Zipline employees or representatives will never ask you for money or payment in exchange for employment opportunities or other related services. Any such offer of employment or any other service in exchange for fees that claims to be from us is deceitful and part of a fraud.
If you believe you have been targeted by a fraudulent party, we ask that you immediately get in touch with us via email at security@flyzipline.com upon receiving a suspicious offer or claim.