TELUS Digital

We are looking for an independent, flexible, remote opportunity where you can help improve AI-powered search technology from the comfort of your home? If you're curious, internet-savvy, and enjoy evaluating online content, this freelance project could be a great fit. A Day in the Life of a Content Reviewer - US In this role, you will analyze and provide feedback on text, webpages, images, and other types of online content for leading search engines using a specialized online platform. By reviewing and rating search results for relevance and quality, you will help improve the overall search experience for millions of users around the world, including yourself. Join our global community and put your skills to work supporting one of the world's leading search technologies. Service Rates The estimated hourly earnings for this role are 14 USD per hour. Compensation is based on tasks completed and project availability. Estimated earnings may vary depending on task volume and program requirements including, quality, and productivity, in accordance with the program's quality standards and guidelines. Please note that only one member per household may participate in this program. If it is identified that more than one person from the same household is participating in the TELUS Digital Rating Program, all associated accounts may be removed from the program. Independent Contractor Relationship This opportunity is offered on an independent contractor basis. Contributors have the flexibility to choose when and how much they work, subject to project availability and quality requirements. This opportunity is not and should not be construed as creating an employment relationship with TELUS Digital. Qualification path No previous professional experience is required to apply for this opportunity. However, participation in this project requires meeting the basic requirements and successfully completing the qualification process. Basic Requirements • Excellent written and verbal commu

The project compensation rate is $0.55 USD per accepted image. The objective of this project is to collect a large and diverse dataset of current neutral selfies, head-pose captures, and historical facial images to support machine-learning research and facial recognition model training at TELUS. The focus is on capturing real-world variation across lighting, poses, expressions, accessories, environments, and aging to improve model accuracy and robustness. The collection includes: • Current Neutral Selfies – clean frontal selfies serving as high-quality identity references, with natural variation in appearance and surroundings. • Current Head-Pose Captures – selfies captured in assigned head directions to introduce pose variation. • Historical Images – older photos from participants’ galleries to capture natural aging and long-term appearance changes. To qualify for payment, you must submit a minimum of 20 valid images. The maximum payout is based on 24 accepted images. Due to the strict automated and manual Quality Control (QC) process, we strongly recommend submitting 30 images to help ensure that enough images remain valid after review Note: Please use a Gmail address as your primary account when applying for this project. Qualification path No specific education is needed to perform the project task.