About Company
Cognizant (Nasdaq: CTSH) is one of the world’s leading professional services companies, transforming clients’ business, operating, and technology models for the digital era. Our unique industry-based, consultative approach helps clients envision, build, and run more innovative and efficient businesses. Headquartered in the U.S., Cognizant is ranked among the top companies in Canada for our innovative solutions and commitment to client success. We are dedicated to fostering an inclusive and diverse workplace where talent thrives, and we empower our associates to make a tangible impact on the future of technology and business. Join a team that values continuous learning, collaboration, and driving meaningful change for global enterprises.
Job Description
Are you passionate about the future of Artificial Intelligence and eager to kickstart your career in the technology sector? Cognizant is seeking highly motivated and detail-oriented individuals to join our team as an Entry Level AI Data Labeling Aide in Mount Pleasant, Brampton. In this crucial role, you will be at the forefront of AI development, responsible for accurately annotating and categorizing data that fuels machine learning algorithms. This isn’t just data entry; it’s an opportunity to directly contribute to the intelligence and effectiveness of AI systems across various industries. You’ll work with diverse datasets, from images and videos to text and audio, helping AI models understand the world more accurately. No prior experience in AI or data labeling is required – we provide comprehensive training to equip you with the skills needed to excel. This role offers an excellent entry point into the tech industry, allowing you to learn valuable skills in data science, machine learning principles, and quality assurance within an innovative and supportive environment. If you possess a keen eye for detail, a strong work ethic, and a desire to learn and grow with cutting-edge technology, we encourage you to apply and become a vital part of our AI solutions team.
Key Responsibilities
- Accurately label and annotate various types of data (images, video, text, audio) according to project-specific guidelines.
- Categorize and tag data to improve the training and performance of machine learning models.
- Review and validate labeled data for quality, consistency, and adherence to project instructions.
- Identify and escalate issues or ambiguities in data or guidelines to team leads for clarification.
- Maintain a high level of productivity and meet daily/weekly labeling targets.
- Actively participate in training sessions and team discussions to enhance labeling accuracy and understanding.
- Provide constructive feedback on tools and processes to improve efficiency and data quality.
- Ensure strict adherence to data privacy and confidentiality protocols.
Required Skills
- High school diploma or equivalent.
- Exceptional attention to detail and accuracy.
- Strong command of the English language, both written and verbal.
- Proficiency with basic computer applications and web navigation.
- Ability to concentrate on repetitive tasks without compromising quality.
- Excellent organizational and time management skills.
- Strong work ethic and reliability.
- Eagerness to learn new tools and technologies.
Preferred Qualifications
- Interest in Artificial Intelligence, Machine Learning, or data science.
- Previous experience with data entry, quality control, or similar detail-oriented roles (even non-professional).
- Familiarity with various digital content formats (images, videos, documents).
- Post-secondary education or pursuing a degree in a related field (e.g., Computer Science, Data Analytics, Liberal Arts).
Perks & Benefits
- Competitive salary and performance-based incentives.
- Comprehensive health, dental, and vision insurance.
- Paid time off, including vacation, sick leave, and holidays.
- Opportunities for professional development and career advancement within Cognizant.
- Access to online learning platforms and training resources.
- Supportive and collaborative team environment.
- Employee assistance program.
- Retirement savings plan options.
How to Apply
If you are a highly motivated individual eager to contribute to the future of AI, we encourage you to apply! Please click on the application link below to submit your resume and cover letter. We look forward to reviewing your application.