On-Site Scripted Video Data Collection for French speakers in Australia
Entry-level job Chatswood (Sydney) IT development
Job description
Do you want to work with a leading technology company to help improve the quality and capabilities of the smartphone camera? Let's improve facial recognition on smartphones! Join us now!
In this task, you will be provided with an Android smartphone which will be used to capture a series of actions that you will perform in an indoor and outdoor setting. The data collected will be used to help improve facial recognition technologies.
Interested? To get started, please sign up using the link below.
https://connect.appen.com/qrp/core/sign-up
Make sure to add all your native languages when creating your profile in the system. Once your account has been created, click the 'All Projects' Tab then you will see the "Continue" button on the right side of the "Unlock More Projects Complete your profile", complete the required information to unlock more projects.
Don’t miss the chance to earn extra income working from the comfort of your own home. This is a great opportunity for you and your friends!
• Work from home with flexible hours
• You can work on our projects around your other jobs
Learn more at Appen.com
A diverse, inclusive culture is vital to our mission of helping build better AI. We offer opportunities for individuals of all abilities and backgrounds.
If you have further questions, do not hesitate to email me at croca@appen.com
Thank you and we hope to work with you soon!
Desired profile
• Have a Gmail account.
• Willing and able to come for a recording session in our Chatswood office.
• Must be a speaker of French
About Appen
Appen brings over 20 years of experience capturing and enriching a wide variety of data types including speech, text, image and video.
We have deep expertise in more than 180 languages and dialects, and access to a global crowd of over 400,000 skilled contractors.
Appen partners with leading technology, automotive and eCommerce companies — as well as governments worldwide — to help them develop, enhance and use products that rely on natural languages and machine learning.