Data Annotation Intern

The role

The intern will contribute to data collection, annotation, and data quality control to build in-house datasets. This work accelerates the development of self-driving software using in-house tools.

What you will do

• 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 during labeling.
• Create concrete plans and maintain thorough documentation to track data records and issues.
• Develop tooling with python along the data pipeline on an ad hoc basis.

Required qualifications

• Current student in Diploma/BS.
• Able to work in a fast-paced environment, learn quickly and be able to prioritize assignments to meet scheduled data deliverables.
• Strong communication skills.
• Able to think critically and make sound, reliable judgments throughout the data annotation process.
• Strong attention to detail for ensuring data integrity.
• Strong record-keeping and organizational skill for tracking project timelines.
• Basic knowledge of Linux and software.

Nice to have

• Python knowledge
• experience in video editing software

Benefits

• world-class benefits
• fantastic culture
• flexible working arrangements
• great international working environment

About the company

Venti Technologies is a leader in safe-speed autonomous logistics systems. The company develops autonomous vehicles for goods transportation using mathematics, deep learning, and algorithms.