About Company
Unlock the future of artificial intelligence with Career.zycto, a dynamic organization committed to fostering innovation and excellence in data-driven solutions. We recognize that high-quality, meticulously labeled data is the bedrock of powerful AI systems. For an AI Data Labeling Aide, our collaborative environment offers a unique opportunity to contribute directly to groundbreaking projects, sharpen your analytical skills, and grow alongside pioneering technology. Join us in shaping intelligent solutions that redefine industries and improve everyday lives.
Job Description
Career.zycto is actively seeking a diligent and detail-oriented AI Data Labeling Aide to join our growing team in the vibrant Junction Triangle, Toronto. This full-time, on-site role is pivotal in ensuring the accuracy and integrity of the datasets that fuel our cutting-edge artificial intelligence and machine learning models. As an AI Data Labeling Aide, you will play a critical hands-on role in categorizing, annotating, and validating various forms of data, including images, text, audio, and video, according to precise guidelines. Your meticulous efforts will directly impact the performance and reliability of our AI products, making this a foundational position within our tech ecosystem.
This is an excellent opportunity for individuals who possess a keen eye for detail, enjoy working with data, and are eager to contribute to the advancement of AI technology. You will work closely with our AI engineers and data scientists, providing the essential, high-quality data they need to train, test, and refine complex algorithms. We value consistency, accuracy, and a proactive approach to problem-solving. While prior experience in data labeling is a plus, we are primarily looking for candidates with a strong work ethic, excellent organizational skills, and a genuine interest in the evolving world of artificial intelligence. If you are passionate about data quality and ready to make a tangible impact on the next generation of AI, we encourage you to apply and become a key part of our innovative journey at Career.zycto.
Key Responsibilities
- Accurately categorize, tag, and annotate various types of data (images, text, audio, video) according to detailed project guidelines.
- Perform quality control checks on labeled data to ensure consistency and adherence to specifications.
- Identify and report discrepancies, ambiguities, or issues within datasets or labeling instructions to the team.
- Collaborate with AI engineers and data scientists to understand labeling requirements and refine processes.
- Maintain a high level of productivity and meet daily/weekly labeling targets.
- Contribute to the continuous improvement of labeling tools and workflows by providing constructive feedback.
- Safeguard data confidentiality and security protocols at all times.
Required Skills
- Exceptional attention to detail and accuracy.
- Strong ability to follow complex instructions consistently.
- Proficiency in basic computer usage and navigating web-based tools.
- Excellent written and verbal communication skills in English.
- Ability to work independently and as part of a collaborative team.
- Reliability and strong organizational habits.
Preferred Qualifications
- Prior experience with data labeling, annotation, or data entry.
- Familiarity with various data labeling platforms or tools.
- Basic understanding or interest in Artificial Intelligence, Machine Learning, or data science concepts.
- Experience working in a fast-paced technology environment.
Perks & Benefits
- Competitive salary and performance-based incentives.
- Comprehensive health, dental, and vision insurance.
- Opportunities for professional development and training in AI/ML.
- Collaborative and supportive team environment.
- Modern office space located in the vibrant Junction Triangle.
- Paid time off and company holidays.
- Regular team-building events and social gatherings.
How to Apply
To apply for this exciting opportunity, please click on the application link below. We ask that you submit your resume and a brief cover letter outlining your interest and relevant experience. Our team will review applications on a rolling basis, and qualified candidates will be contacted for an interview.
