Remote Photo Collection (Project Asteroid) – Membership cards & Event Tickets Canada
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Job Location:
Monthly Salary:
Posted on:
Yesterday
Vacancies:
1 Vacancy
Job Summary
Work Location: Remote
Engagement Model: Freelance
Estimated Project Duration: 30 minutes to 1 hour
Estimated Start Date: Immediate
Compensation: 52.5 USD
We are currently looking for participants to join our Asteroid Remote Photo Collection Membership cards & Event Tickets project.
Project Summary
We are currently looking for participants to join our Asteroid Remote Photo Collection Membership cards & Event Tickets project.
The purpose of this project is to collect photos or screenshots of expired physical or digital gift event tickets and membership or loyalty cards to help improve AI-driven image recognition.
The collected materials will be used to support the development and enhancement of AI-driven image recognition systems.
Task description:
Participants will be asked to upload photos or screenshots of expired and/or items with zero monetary value through the DataForce platform following the provided guidelines and quality requirements.
This is a quick task! Each submission only takes a few minutes to complete.
Requirements
To participate you should meet the following qualifying criteria:
- Be 18 or older
- Be a resident of Canada (except Quebec)
- Be able to follow written guidelines in English
- Be able to submit photos or screenshots of expired physical or digital event tickets membership or loyalty cards and related passes that contain a visible barcode (including QR codes) and are no more than two (2) years past their expiration or event date
How much is the compensation
You can earn up to $52.5 USD by submitting up to 15 accepted assets. Each accepted asset is paid out at $3.50 USD.
DataForce by TransPerfect is part of the TransPerfect family of companies the worlds 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 department focuses on gathering enriching and processing data for Machine Learning in different AI domains.
