Description

The contribution to this project will be 10 minutes of recorded speech per session. There will be 3 recording sessions that need to be completed during 3 consecutive days: one in the morning of day 1, one at noon of day 2, and one in the evening of day 3. The recording sessions will have to be done inside a car with different setups (e.g., windows down, A/C on, in-door parked car).

Job Responsibilities

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.

We offer high-quality data for Human-Machine Interaction to some of the most prestigious technology companies in the world. Our division focuses on gathering, enriching, and processing data for Machine Learning in different AI domains.

Skills and Abilities

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.

We offer high-quality data for Human-Machine Interaction to some of the most prestigious technology companies in the world. Our division focuses on gathering, enriching, and processing data for Machine Learning in different AI domains.

Educational Qualification

Requirements:

• Be 18 years or older
• Be a resident of the U.S. (except Hawaii residents)
• Be fluent in English
• Have a smartphone
• Have access to a car with A/C (no driving is required)
• Have access to indoor parking (garage, indoor parking structure/ building, does not have to be private parking)

Benefits

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.

We offer high-quality data for Human-Machine Interaction to some of the most prestigious technology companies in the world. Our division focuses on gathering, enriching, and processing data for Machine Learning in different AI domains.