Data Labeling Specialist, Rwanda [Full Time]

<div class="content-intro"><h3>About Zipline</h3> <p>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. </p> <p>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.</p> <p>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.</p> <p>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.</p></div><h3><strong>About You and The Role</strong><strong> </strong></h3> <p>Zipline’s autonomous delivery systems depend on perception data that helps our aircraft understand the world around them, including detecting other aircraft, identifying ground-based obstacles, and supporting accurate deliveries.</p> <p>As a Data Labeling Specialist, you’ll play a key role in supporting Zipline’s global operations through careful sensor-data labeling and review work that turns raw operational data into reliable training and evaluation datasets for machine learning. You will apply annotation guidance consistently, identify edge cases, data-quality issues, and tool challenges, and share clear feedback with Autonomy partners so perception development stays grounded in accurate, high-quality data.</p> <h3><strong>What You'll Do</strong></h3> <ul> <li>Label and review data from multiple sensor streams using internal and external tools, adding the metadata needed for machine-learning applications.</li> <li>Build expertise across different sensor-data workflows and apply annotation guidelines consistently to produce accurate, complete, and high-quality labeled datasets.</li> <li>Identify data anomalies, edge cases, recurring ambiguities, and opportunities to improve labeling and review processes.</li> <li>Document and escalate quality, tool, or system issues that may affect labeling accuracy, throughput, or downstream perception development.</li> <li>Deliver high quality labeled datasets on a regular cadence to support critical algorithm-development timelines.</li> <li>Provide structured feedback to Autonomy teams on labeling tools and workflows, helping improve usability, efficiency, and review quality.</li> <li>Support Autonomy teams on related projects as needed.</li> </ul> <h3><strong>What You'll Bring</strong><strong> </strong></h3> <ul> <li>Bachelor’s degree in an Engineering field, or completion of final-year academic requirements with graduation pending.</li> <li>Experience reviewing and labeling data, with the discipline to apply detailed guidance consistently.</li> <li>Experience managing complex tasks or projects while maintaining organized, accurate records.</li> <li>Exceptional attention to detail and the ability to sustain methodical work over extended periods.</li> <li>Strong verbal and written communication skills in English.</li> </ul> <h3><strong>What Else You Need to Know</strong><strong> </strong></h3> <ul> <li>Must have the legal right to work in Rwanda.</li> <li>This position follows a 24/7 shift based operating model, and candidates must be flexible to work a rotating schedule that may include early mornings, nights, weekends, and public holidays as required.</li> <li>Available to work a minimum of 40 hours per week.</li> </ul> <p>Zipline is an equal opportunity employer and prohibits discrimination and harassment of any type without regard to race, color, ancestry, national origin, religion or religious creed, mental or physical disability, medical condition, genetic information, sex (including pregnancy, childbirth, and related medical conditions), sexual orientation, gender identity, gender expression, age, marital status, military or veteran status, citizenship, or other characteristics protected by state, federal or local law or our other policies.</p> <p>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!</p>