Data Annotation Intern

About the Company

Venti Technologies is a leader in safe-speed autonomous logistics systems, developing the future of goods transportation. Using rigorous mathematics, deep learning, and theoretically-grounded algorithms, Venti develops proprietary autonomy technologies to improve logistics safety and efficiency.

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 data issues and making sound judgments on challenging edge cases
• Create concrete plans and maintain thorough documentation to track data records and issues
• Develop tooling with Python along the data pipeline, including 3D visualization, annotation tools, and data processing tools

Requirements

• Current student in Diploma or BS program
• Available to work on-site Monday-Friday, 9:00 AM - 6:00 PM
• Ability to work in a fast-paced environment and prioritize assignments
• Strong communication and critical thinking skills
• Strong attention to detail and organizational skills
• Basic knowledge of Linux and software

Preferred Qualifications

• Python knowledge
• Experience with video editing software