Appen is currently looking for Mandarin Native Speakers for speech recording in a recording studio in Sydney, Australia (Please ONLY register if you can come to the studio in Chatswood office)
Native Mandarin speakers
Able to travel to our recording studio in Chatswood, NSW (travel cost not covered by Appen)
Able to record during business hours (8:30am - 5:30pm), some after-hour sessions can also be arranged
At least 1 year driving experience
No speech impediment
Ability to follow instructions
Recording location: 5 mins walk from Chatswood Station
Voice recording based on instructions displayed in monitor
From 17 Dec 2018 to 28 Feb 2019
$70/approx. 1.5 hrs, recordings for some selected participants
Participants will be selected based on demographic requirements
Note: Please apply ONLY if you can come to do the recordings in Sydney. Participants who live in another city and not be able to travel should NOT apply.
We are an equal opportunity company and value diversity. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
Not a backpacker? That's ok. We accept applications from Australian citizens, permanent residents, international students as well as working holiday visa holders. If you are qualified for this position, please register and apply via the form below.
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.
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