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Join DataForce as a Freelance English Remote Annotator, working approximately 20 hours per week with a flexible schedule. You will provide detailed descriptions based on audio recordings, contributing to AI-related projects. This entry-level position offers an opportunity for growth in the field of annotation and transcription.
Join to apply for the Freelance English Remote Annotators role at DataForce
Join to apply for the Freelance English Remote Annotators role at DataForce
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Work Schedule: Flexible schedule of approx. 20 hours per week
Language Needed: English US
Start Date: ASAP
Project Duration: until the end of June with possibility of extension
DataForce by TransPerfect is looking for freelance English (US) Annotators to be part of an innovative project related to Artificial Intelligence.
ROLE DESCRIPTION
As an annotator, you will be responsible for listening to short English audio recordings to generate detailed, accurate, and creative descriptions of human speech attributes (such as voice characteristics, delivery style-tone, speed, intonation, pace, pronunciation, apparent gender, age range, or accent, etc.).
Job requirements
· Idiomatic fluency in English .
· Excellent writing and spelling/grammar skills in English.
· Complete 1-minute questionnaire that you will receive from an email address with the domain name dataforce.recruitee.com after you submit your application
· Ability to work independently and meet deadlines effectively.
· Ability to follow detailed project guidelines.
· Exceptional attention to detail and the ability to deliver error-free work.
· Availability to work a minimum of 20 hours per week.
· Familiarity with annotation/transcription online tools is preferred.
DataForce by TransPerfect is part of the TransPerfect family of companies, the world’s largest provider of language and technology solutions for global business, with offices in more than 100 cities worldwide.
DataForce by TransPerfect offers high-quality data for Human-Machine Interaction to some of the most prestigious technology companies in the world. Our department focuses on gathering, enriching and processing data for Machine Learning in different AI domains
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