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Data Annotation Intern
2 weeks ago
**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.
- Work with the vehicle team to collect data and verify data quality.
- Interact with team members to help us improve on the design of an efficient labeling interface.
- Ensure data quality and identification of data quality issues, is able to make calls for difficult edge cases during labeling.
- Make concrete plans and documents to keep records of data and issues.
- You will gain basic machine learning knowledge to better understand how the labels are used by our learning algorithms
**Required experience**:
- Current student in Diploma/BS.
- Available to work on-site schedule between 9:30AM-6 PM Monday-Friday.
- Able to work in a fast-paced environment, learn quickly and be able to prioritize assignments to meet scheduled data deliverables.
- Detail oriented with strong record-keeping and organizational skills.
- Collaborative, flexible, open working style and an ability to establish trust and credibility.
- Basic knowledge of Linux and software.
- Python knowledge and experience in video editing software is a bonus.
**We are looking for students with ability to commit to 3-6 months internship with us**
Salary is commensurate with experience. We also offer world-class benefits, fantastic culture, flexible working arrangements, and a great international working environment. Come and join us
