About company
About TELUS International AI :
We partner with the world’s most innovative companies to develop and improve their AI powered products. Whether its improving the relevance of search engines or training digital assistants to understand more languages and dialects, our teams help break machine-learning barriers and build human-learning bridges around the world — and you can be part of it.
Job description
Department : Data Science & Analytics
Employment Type : Part Time, Freelance/Homebased
Category : Data Science & Machine Learning
Role : Data Science & Machine Learning
Industry Type : IT Services & Consulting
Openings : 100+
Qualification path
- Basic Requirements
- Strong attention to detail and ability to follow precise instructions.
- Reliable internet connection and ability to work independently.
- Prior experience in data annotation or labeling is a plus but not required.
- Basic understanding of AI or machine learning concepts is advantageous.
- Strong proficiency in English for clear communication and reporting.
About the Role
Help shape the future of AI! Were seeking detail-oriented freelancers to join a global AI data annotation project. As an AI Data Annotation Specialist, youll annotate, label, and curate data that powers advanced machine learning models. Your work—tagging images, labeling text, or collecting documents—will directly impact the accuracy and performance of AI systems used worldwide.
Flexible Hours
Work up to 10 hours per day, 40 hours per week—on your schedule.
Location : Global Remote
Working Hours : Flexible schedule, up to 10 hours/day and 40 hours/week
Duration : Through December 2025
Payment
- Freelance rates range from $6–$18 USD per hour, depending on experience, geographic location, and project requirements.
- Payment is competitive and reflects the value of your contributions to AI training projects.
Education
UG : Any Graduate, B.Tech/B.E. in Any Specialization
Key Responsibilities
- Annotate & Label: Tag, categorize, and review text, images, and documents.
- Collect Data: Gather and organize high-quality datasets for AI training.
- Ensure Quality: Review and validate data for precision and consistency.
- Collaborate Globally: Work with an international team to hit project milestones.
