XPeng Motors is one of China’s leading smart electric vehicle (“EV”) companies. We design, develop, manufacture and market smart EVs that are seamlessly integrated with advanced Internet, AI and autonomous driving technologies. We are committed to in-house R&D and intelligent manufacturing to create a better mobility experience for our customers. We strive to transform smart electric vehicles with technology and data, shaping the mobility experience of the future.
We are looking for a QA Specialist(contractor) to help us make annotations among current images and videos.
Responsible for making accurate annotations to images and videos.
Responsible for following labeling guidelines.
Responsible for filtering out bad labels or images.
Responsible for testing new tools and ideas and able to give precise feedbacks.
Learn to write scripting language queries to find hard cases in our massive dataset.
Label images and videos through labeling tools.
Cooperate with QAs and engineer team to examine label qualities and filter out bad images.
Giving feedbacks to data team on using the labeling tool.
Finding hard cases in our massive dataset based on queries.
Careful to details.
Team player, good at communication.
Basic understand on machine learning.
Basic understand on project management.
Be willing to learn different tools.
Bilingual in Chinese and English is preferred.
Some prior experience with scripting languages like python is preferred.
What do we provide:
A fun, supportive and engaging environment
Opportunity to make significant impact on transportation revolution by the means of advancing autonomous driving
Opportunity to work on cutting edge technologies with the top talent in the field
Competitive compensation package
Snacks, lunches and fun activities
We are an Equal Opportunity Employer. It is our policy to provide equal employment opportunities to all qualified persons without regard to race, age, color, sex, sexual orientation, religion, national origin, disability, veteran status or marital status or any other prescribed category set forth in federal or state regulations.