About Company
Are you passionate about shaping the future of AI? Career.zycto is at the forefront of innovative AI development, crafting intelligent solutions that empower businesses across various sectors. We’re a dynamic team committed to pushing technological boundaries and fostering a collaborative environment where every voice contributes to groundbreaking projects. Joining us means becoming part of a culture that values curiosity, continuous learning, and impact. We believe in providing AI training specialists with the resources and autonomy to make a real difference, transforming complex data into actionable insights and robust models. If you thrive on intellectual challenge and practical application, Career.zycto offers an unparalleled opportunity to grow your expertise and influence the next wave of AI advancements.
Job Description
Career.zycto is seeking a highly motivated and detail-oriented Part-time AI Training Specialist to join our innovative team in Sudbury, Ontario. In this crucial role, you will be instrumental in the development and refinement of our cutting-edge AI models by providing high-quality training data. You will work closely with our data science and engineering teams to understand model requirements and translate them into actionable annotation and validation tasks. This position offers a unique opportunity to directly contribute to the intelligence and performance of our AI systems, making a tangible impact on our product capabilities and user experience.
The ideal candidate possesses a keen eye for detail, strong analytical skills, and a genuine interest in artificial intelligence and machine learning. You will be responsible for annotating, categorizing, and validating various types of data (text, image, audio, etc.) according to specific guidelines, ensuring accuracy and consistency across datasets. Your work will directly inform how our AI models learn and evolve, requiring a proactive approach to identifying potential data quality issues and suggesting improvements to our annotation processes. This is more than just data entry; it’s about understanding the nuances of AI learning and contributing to its intelligence. We are looking for someone who is eager to learn, adapt, and grow within a fast-paced and intellectually stimulating environment. If you’re looking to dive deep into the practical application of AI and contribute to meaningful technological advancements on a flexible schedule, we encourage you to apply.
Key Responsibilities
- Perform precise annotation and labeling of diverse datasets (e.g., text, images, audio, video) according to detailed project guidelines.
- Validate existing annotated data to ensure accuracy, consistency, and adherence to quality standards.
- Identify and report data inconsistencies, edge cases, and potential ambiguities in guidelines to the AI/ML engineering team.
- Contribute to the refinement of annotation guidelines and best practices based on observed data patterns and model feedback.
- Collaborate with data scientists and engineers to understand project goals and data requirements.
- Maintain high levels of productivity and quality while working on various annotation tasks.
- Participate in team meetings to discuss progress, challenges, and share insights to improve overall data quality.
- Stay updated on AI/ML concepts and data annotation tools to enhance efficiency and understanding.
Required Skills
- Proven experience with data annotation or labeling tasks, preferably in an AI/ML context.
- Exceptional attention to detail and strong analytical capabilities.
- Excellent communication skills, both written and verbal, for effective collaboration.
- Proficiency with common office software (e.g., Google Workspace, Microsoft Office).
- Ability to work independently and manage time effectively to meet deadlines.
- Strong problem-solving skills and a proactive approach to task execution.
- A genuine interest in artificial intelligence, machine learning, and data science.
Preferred Qualifications
- Bachelor's degree in a related field (e.g., Computer Science, Linguistics, Cognitive Science, Data Science).
- Familiarity with various data annotation platforms and tools.
- Basic understanding of machine learning concepts and how data impacts model performance.
- Experience with scripting languages (e.g., Python) for data manipulation or automation tasks.
Perks & Benefits
- Flexible part-time schedule.
- Opportunity to work on cutting-edge AI technologies.
- Collaborative and supportive team environment.
- Professional development opportunities and continuous learning.
- Direct impact on product development and AI model performance.
- Competitive hourly wage.
How to Apply
Interested candidates are encouraged to click on the application link below to submit their resume and a cover letter detailing their relevant experience and why they are passionate about contributing to AI development. Please highlight any prior experience with data annotation or AI-related projects. We look forward to reviewing your application!
