About the Company
Telus International is a leading global customer experience and digital solutions provider. We partner with clients to design, build, and deliver next-generation solutions, including AI-powered data annotation and content moderation, to enhance user experiences and drive innovation. Our team is passionate about harnessing technology to make a difference.
Job Description
Are you a detail-oriented college student looking for a flexible, remote work opportunity? Telus International is seeking motivated individuals to join our team as a WFH Image Tagger. In this role, you will play a crucial part in training AI models by accurately tagging and categorizing images based on specific guidelines. This position offers convenient 4-hour shifts, making it an ideal fit for students balancing studies with work. As a remote position, you can work from the comfort of your home, contributing to cutting-edge AI development.
Key Responsibilities
- Accurately tag and categorize images according to provided project guidelines and specifications.
- Maintain high quality and consistency in all tagging tasks.
- Follow specific instructions to ensure data integrity and model effectiveness.
- Meet daily and weekly production targets.
- Provide feedback on guidelines and tools to improve efficiency and accuracy.
- Manage time effectively to complete tasks within assigned 4-hour shifts.
Required Skills
- Strong attention to detail and accuracy.
- Ability to understand and follow complex instructions.
- Reliable internet connection and a personal computer.
- Basic computer proficiency and ability to navigate online tools.
- Excellent time management and organizational skills.
- Must be 18 years or older.
Preferred Qualifications
- Currently enrolled in a college or university program.
- Previous experience with data entry or image tagging (not required, but a plus).
- Familiarity with various image types and categories.
- Ability to learn new software and tools quickly.
Perks & Benefits
- Flexible 4-hour shifts, perfect for students.
- 100% remote work opportunity.
- Opportunity to contribute to advanced AI and machine learning projects.
- Competitive hourly pay.
- Access to a supportive online community.
- No commute required, saving time and money.
How to Apply
If you are interested in this position, please click the "Apply Now" button below. To ensure your application is properly considered, please prepare the following:
- An up-to-date Resume or CV
- A brief cover letter summarizing your experience and motivation
Applications are reviewed on a rolling basis. Only shortlisted candidates will be contacted for an interview.
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