About Company
At TELUS, we are a world-leading communications and information technology company driven by a passionate commitment to our customers, communities, and planet. We believe that technology can be a force for good, connecting people, empowering businesses, and improving lives. Our innovative spirit extends to pioneering advancements in Artificial Intelligence and machine learning, which are integral to enhancing our services and creating future-forward solutions. We’re a team of diverse, enthusiastic individuals who are redefining what’s possible, fostering a culture of collaboration, growth, and continuous learning. Joining TELUS means being part of a company that not only leads the industry in Canada but also makes a significant impact on a global scale, all while championing a strong social purpose.
Job Description
Are you passionate about the future of Artificial Intelligence and possess a keen eye for detail? TELUS is seeking a motivated and meticulous Part-Time AI Data Labeling Coordinator to join our innovative team in Whalley, Surrey. In this crucial role, you will be at the heart of our AI development efforts, ensuring the high quality and consistency of data used to train our advanced machine learning models. Your work directly impacts the accuracy, reliability, and effectiveness of our AI-powered products and services, contributing to a seamless experience for millions of Canadians.
This isn’t just a data entry position; it’s an opportunity to coordinate and oversee complex data labeling projects, develop and refine guidelines, and collaborate with a dynamic team of AI/ML engineers and data scientists. You’ll play a pivotal role in maintaining data integrity, troubleshooting challenges, and optimizing workflows to accelerate our AI initiatives. If you thrive in a fast-paced environment, are adept at managing multiple tasks, and eager to contribute to cutting-edge technology, we invite you to help us shape the future of connectivity and innovation at TELUS.
Key Responsibilities
- Coordinate and manage various AI data labeling projects, ensuring timely completion and adherence to quality standards.
- Develop, refine, and maintain detailed data labeling guidelines and instructions for diverse datasets.
- Onboard, train, and provide ongoing support to a team of data labelers, ensuring consistent understanding and application of guidelines.
- Perform quality assurance checks and audits on labeled data, identifying discrepancies and providing constructive feedback.
- Collaborate closely with AI/ML engineers and data scientists to understand project requirements and address labeling challenges.
- Monitor project progress, track key performance indicators, and report on labeling metrics.
- Troubleshoot and resolve issues related to data labeling tools, platforms, and processes.
- Contribute to process improvement initiatives to enhance efficiency and accuracy in data labeling operations.
Required Skills
- 1+ year of experience in data labeling, annotation, or quality assurance, preferably in an AI/ML context.
- Exceptional attention to detail and a commitment to data accuracy.
- Strong organizational and time management skills, with the ability to manage multiple priorities.
- Excellent written and verbal communication skills, able to convey complex instructions clearly.
- Proficiency with various data annotation tools and platforms (e.g., Labelbox, Prodigy, etc.).
- Basic understanding of Artificial Intelligence and Machine Learning concepts.
- A proactive problem-solver with an analytical mindset.
Preferred Qualifications
- Bachelor's degree in Computer Science, Linguistics, Data Science, or a related technical field.
- Experience in project coordination or team leadership, particularly in a data-centric environment.
- Familiarity with agile development methodologies.
- Experience working with large datasets and diverse data types (text, image, audio, video).
Perks & Benefits
- Competitive hourly wage commensurate with experience.
- Flexible part-time work schedule to support work-life balance.
- Opportunity to work with cutting-edge AI and machine learning technologies.
- A collaborative, supportive, and inclusive team environment.
- Professional development and growth opportunities within a leading Canadian company.
- Access to a comprehensive employee assistance program.
- Exclusive TELUS employee discounts on products and services.
How to Apply
Ready to help shape the future of AI at TELUS? We encourage all qualified candidates to apply by clicking the application link below. Please ensure your resume highlights your relevant experience in data labeling and coordination.