Zipline

Perception Annotation Technician

Kigali, Rwanda
Machine Learning
Description

Data Labeling Specialist, Rwanda [Full Time]

Location: Kigali, Rwanda

Department: Engineering

About Zipline

Do you want to change the world? Zipline is on a mission to transform the way goods move. Our aim is to solve the world’s most urgent and complex access challenges by building, manufacturing and operating the first instant delivery and logistics system that serves all humans equally, wherever they are. From powering Rwanda’s national blood delivery network and Ghana’s COVID-19 vaccine distribution, to providing on-demand home delivery for Walmart, to enabling healthcare providers to bring care directly to U.S. homes, we are transforming the way things move for businesses, governments and consumers. 

The technology is complex but the idea is simple: a teleportation service that delivers what you need, when you need it. Through our technology that includes robotics and autonomy, we are decarbonizing delivery, decreasing road congestion, and reducing fossil fuel consumption and air pollution, while providing equitable access to billions of people and building a more resilient global supply chain.

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.

What You'll Bring 

  • 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.

What Else You Need to Know  

  • 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.

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.

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 [email protected] upon receiving a suspicious offer or claim.

Zipline
Zipline

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