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 advanced AI data annotation services. We believe in empowering talent and providing opportunities for individuals to grow and make an impact.
Job Description
Are you a detail-oriented 14-year-old teen looking for an exciting opportunity to contribute to the future of Artificial Intelligence from the comfort of your home? Join TELUS International as an Online Image Labeler! This unique remote role allows you to play a crucial part in training AI systems by accurately labeling images. Your contributions will directly impact the development and improvement of cutting-edge AI technologies. This position offers flexible hours, perfect for fitting around your school schedule and other commitments.
Key Responsibilities
- Accurately label and categorize images based on provided guidelines and instructions.
- Ensure high quality and consistency in all labeling tasks.
- Meet daily productivity targets while maintaining accuracy standards.
- Provide feedback on guidelines when ambiguities arise to improve clarity.
- Collaborate with project managers and quality assurance teams as needed.
Required Skills
- Must be exactly 14 years old.
- Reliable internet connection and a personal computer.
- Strong attention to detail and ability to follow complex instructions.
- Basic computer proficiency, including navigating web interfaces.
- Excellent focus and ability to concentrate for extended periods.
- Independent and self-motivated work ethic.
Preferred Qualifications
- Previous experience with online tasks or digital platforms.
- A genuine interest in technology, AI, or machine learning.
- Ability to adapt to new tools and software quickly.
Perks & Benefits
- Flexible part-time hours perfect for students.
- Opportunity to work 100% remotely from home.
- Contribute directly to the advancement of artificial intelligence.
- Develop valuable digital skills and learn about the tech industry.
- Be part of a global community of data labelers.
- No prior experience required – comprehensive training provided.
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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