Data Annotation Intern

A world empowered by autonomy. We build robotic vehicles to improve logistics safety, forge a greener Earth, and enhance human lives.

We are a closely-knit team aspiring to change the world through disruptive technology. We are innovators. We are tinkerers. We are problem-solvers. And we have a fair amount of magic dust up our sleeves. We have a plan for fleet-level deployment of autonomous vehicles, and we are looking for the best-of-the-best to join us in making this a reality.

About Venti Technologies

Based in the U.S. and Asia, Venti Technologies is the leader in safe-speed autonomous logistics systems, developing the future of goods transportation. Using rigorous mathematics, deep learning, and theoretically-grounded algorithms, Venti has a proprietary collection of autonomy technologies including a suite of powerful logistics algorithms. Venti’s proven value proposition of saving costs, increasing vehicle utilization, and improving safety is recognized by customers and driving growth. Launched in 2018, Venti brings together an unsurpassed team internationally. The company has autonomous systems deployed in Asia for industrial and logistics sites and a growing pipeline. Venti has offices in Cambridge (Massachusetts, USA), Suzhou (China), and Singapore – our Asian headquarters.

We are looking for a self-motivated member to contribute to the data collection, annotation and data quality control to continuously build and improve our in-house datasets to accelerate the development of our self-driving software stack. In his role, you will work with in-house tools to collect and annotate data coming from the fleet of vehicles.

Role Responsibilities

- Use in-house tools to label point clouds and images.

- Collaborate with the vehicle team for on-site sensor calibration, data collection, and data quality verification.

- Work closely with team members to improve the design and efficiency of labeling interfaces.

- Ensure high data quality by identifying ...