Participants will be required to travel to Chatswood (Sydney, Australia) to take part in this exciting projects.
If selected you'll get to interact with a specially outfitted vehicle, simulating the ways in which you use your car every day.
The project will require you to perform a number of actions in the car, as though you were getting in and getting ready depart. You'll perform tasks such as entering the vehicle, placing luggage in the backseat, adjusting your seat and mirrors, entering an address into the navigation system and more.
During the session, you'll also get to change your appearance! You'll have to do things like shave/wear a fake beard (males), wear and remove makeup (females) put on different wigs, change hairstyles, wear hats and sunglasses all to change your appearance
Whilst you're doing all of this, we'll be collecting data using several video cameras to train visual recognition algorithms that will help improve artificial intelligence
Each session will take around 1 hour, and you'll be paid AUD $50 for your time
Note: Once you have successfuly registered in Appen Connect, please qualify for project Strawberry.
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
This job vacancy was been posted over 40 days ago, but is still active and currently accepting new applications.
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Member since: December 2017
Appen has more than 20 years of experience in data annotation, collection, evaluation and transcription and a track record for successfully enhancing image, speech, text and video data for use in machine learning and artificial intelligence.
We have deep expertise in more than 180 languages and dialects, do work in more than 130 countries, and have access to a global crowd of over 1,000,000 skilled contractors.
Appen partners with leading technology, automotive and eCommerce companies — as well as governments worldwide — to help them secure the data they need to create innovative products and services that rely on natural language and machine learning.
Information & Communication Technology