Remote Data Contributor - Audio Data Collection Project Orchid (US)

Position : Data Contributor

Study Location : Remote

Task duration : Up to 1 hour

Engagement Model : One-time, task based

Registration Link :

At DataForce by TransPerfect we're currently seeking participants residing in the USA to join our Orchid Remote Audio Collection project.

What is the project about?

The purpose of this project is to collect audio recordings to improve voice recognition technologies and the performance of virtual assistants. This opportunity focuses specifically on African American voices to help reduce bias and make these systems more inclusive.

Task description :

You will need to record a total of 20 minutes of short prompts on an iPhone using our DataForce Contribute app. All recordings must be completed indoors, using the device's internal microphone (no external mics or accessories allowed).

Who is eligible?

To participate you should meet the following qualifying criteria :

• Be 18 or older.
• Self-identify as African American or African.
• Reside in the United States.
• Be fluent in English.
• Have an iPhone 11 or newer model to complete the task.

Where is the project taking place?

This is a fully remote project. You can participate from the comfort of your home or preferred location within the US (except Illinois, Washington, and Texas).

How much is the compensation?

You will receive $30 USD for your participation.

Referral Bonus Program :

Know someone 18-25 and 51-65 years old who'd be a good fit? Refer them to the study and earn $15 USD for each person who successfully completes the task and gets paid!

How long does it take?

We estimate it will take up to 1 hour to complete the task of recording the 20 minutes of audio.

If you have any questions or concerns, please don't hesitate to reach out to us at : DataForce.Collection@Transperfect.com

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.

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