About Company
At CIBC, we are a leading Canadian financial institution with a strong commitment to innovation and customer satisfaction. With a rich history spanning over 150 years, we serve millions of clients across Canada and around the world, helping them achieve their ambitions. We believe in the power of technology and data to transform banking and enhance our services, continuously investing in cutting-edge solutions like Artificial Intelligence to deliver a seamless, personalized, and secure experience for our clients. Join a team where your contributions are valued, and your career growth is supported.
Job Description
We are seeking a highly meticulous and detail-oriented AI Data Review Coordinator to join our innovative team in Chinatown, Toronto. In this critical role, you will be at the forefront of ensuring the quality and integrity of the data that fuels our advanced Artificial Intelligence and Machine Learning models. Your primary responsibility will involve the careful review, annotation, categorization, and validation of large datasets across various domains, ensuring accuracy, consistency, and compliance with established guidelines and ethical standards. This role is essential for the effective training and continuous improvement of our AI systems, directly impacting their performance and reliability in real-world financial applications.
As an AI Data Review Coordinator, you will work closely with data scientists, AI engineers, and product managers to understand project requirements and contribute to the iterative development of AI-driven solutions. You will play a vital part in identifying patterns, anomalies, and potential biases within data, providing invaluable feedback that helps refine our data collection and labeling processes. Your ability to maintain high levels of focus and accuracy while processing complex information will be paramount. This is an exciting opportunity for someone passionate about the intersection of data, AI, and finance, looking to make a significant impact within a dynamic and forward-thinking organization. We are looking for an individual who is not only proficient in data review but also possesses a keen analytical mind and a commitment to continuous learning in the rapidly evolving AI landscape. Come contribute to shaping the future of banking with CIBC.
Key Responsibilities
- Review, annotate, and categorize large volumes of diverse data (text, numerical, etc.) to ensure high-quality input for AI/ML model training.
- Perform rigorous quality assurance on annotated datasets, identifying and correcting inconsistencies, errors, and potential biases.
- Collaborate cross-functionally with data scientists, AI engineers, and product teams to understand data requirements and provide feedback on data quality and annotation guidelines.
- Contribute to the development and refinement of data labeling guidelines and best practices.
- Monitor data trends, identify common issues, and propose solutions for improving data collection and annotation processes.
- Maintain detailed documentation of review processes, findings, and resolutions.
- Stay informed about the latest developments in AI, machine learning, and data annotation methodologies.
- Ensure all data handling and review processes adhere to CIBC's strict compliance, privacy, and security standards.
Required Skills
- Minimum of 3 years of experience in data review, data entry, quality assurance, or a similar detail-oriented role.
- Exceptional attention to detail and strong analytical skills with a proven ability to identify patterns and discrepancies in data.
- Proficiency in using data annotation tools and database management systems.
- Strong organizational skills and the ability to manage multiple tasks effectively in a fast-paced environment.
- Excellent communication skills, both written and verbal, for effective collaboration.
- Basic understanding of Artificial Intelligence and Machine Learning concepts.
- Proficiency with Microsoft Office Suite, especially Excel, for data analysis and reporting.
- A strong commitment to data accuracy, privacy, and ethical data handling.
Preferred Qualifications
- Bachelor's degree in a relevant field such as Data Science, Computer Science, Statistics, or a related discipline.
- Experience with SQL or other querying languages for data manipulation.
- Familiarity with financial industry data and regulations.
- Previous experience working with large-scale datasets or in an AI/ML development environment.
- Fluency in additional languages relevant to the Toronto market (e.g., Cantonese, Mandarin) is an asset for reviewing diverse data.
Perks & Benefits
- Competitive salary and performance-based bonuses.
- Comprehensive health, dental, and vision benefits.
- Pension plan with company contributions.
- Generous vacation and paid time off.
- Employee wellness programs and resources.
- Opportunities for professional development and continuous learning.
- Access to a dynamic and collaborative work environment.
- Employee banking benefits and discounts.
- Commuter benefits and convenient access to public transit in Chinatown.
How to Apply
Interested candidates are invited to apply directly through the CIBC Careers portal. Please click on the application link below to submit your resume and cover letter. Ensure your application clearly outlines your relevant experience and qualifications for this role. We thank all applicants for their interest, however, only those selected for an interview will be contacted.