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About the Role

DataForce by TransPerfect is seeking an Onsite Project Moderator with idiomatic fluency in Arabic to join our team for a new data collection project in London. This role involves assisting and guiding participants in a study using an AI virtual assistant and ensuring the proper execution of study requirements. This is an exciting opportunity to contribute to the advancement of Artificial Intelligence technology.

Responsibilities

Understand project provided documentation to assist participants
Interact with participants and lead them through data collection projects
Acknowledge and resolve participants’ issues, escalate unsolved issues
Capture data for the assigned project aiming to reach the targeted daily goal
Use Client tools to collect and track data
Convey session details to the Project Manager and Production team
Communicate and coordinate with the project team
Interact with various hardware & software

Requirements

Available to work on-site in London, UK
Idiomatic fluency in one of the following Arabic varieties: Arabic (Iraq), Arabic (Syria), Arabic (Jordan), or Arabic (Egypt)
Available to work 8h/day for the duration of the project
Strong technical skills, especially with iOS and MacOS
Excellent oral communication skills (ability to lead a conversation with ease on different topics)
Detail-oriented with a knack for problem-solving
Able to work flexibly and adapt to changing scenarios

Skills

Arabic
English
iOS
MacOS
Communication
Problem-solving

Location

On-site in London, UK

Work Type

On-site
Freelance
Independent Contractor
Full-time

Experience Level

Moderation experience
Facilitation experience

Salary/Compensations

32 USD/hour

About the Company

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 over 100 cities worldwide.
We offer 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.