Annotation Analyst

As an Annotation Analyst at TELUS Digital, you will have the exciting opportunity to kickstart your career in the AI and data annotation field. Your primary responsibility will be to train machine learning models by accurately labeling and annotating various data types such as images, text, audio, and video. **Key Responsibilities:** - Annotate and label datasets accurately using specialized tools and guidelines - Review and correct existing annotations to maintain data quality - Collaborate with machine learning engineers and data scientists to comprehend annotation requirements - Provide feedback to enhance annotation guidelines and workflows - Familiarity with Floor Plan and interior layouts - Knowledge of 3D modeling or related software tools **Qualifications Required:** - Any Graduate or Post Graduate with attention to detail and ability to follow complex instructions - Certification in AutoCAD, VFX, Graphic Designing, or Photoshop - Basic computer skills and familiarity with data entry or annotation tools - Quick learner with open-mindedness towards feedback - Strong communication skills and the ability to work autonomously or in a team environment - Willingness to work in a 24/7 environment, including night shifts and rotational weekends **Additional Company Details:** At TELUS Digital, we facilitate customer experience innovation through collaborative teamwork, agile thinking, and a customer-centric culture. As the global arm of TELUS Corporation, a leading telecommunications service provider in Canada, we provide contact center and business process outsourcing solutions to major corporations worldwide. Our multi-shore, multi-language programs offer secure infrastructure, value-based pricing, skilled resources, and exceptional customer service, all supported by our multi-billion dollar telecommunications parent company. TELUS Digital is an equal opportunity employer dedicated to fostering a diverse and inclusive workplace. We base all employment decisions on applicants" qualifications, merits, competence, and performance, irrespective of any diversity-related characteristics.,