About the Company
IBM Canada Ltd. is a global leader in technological innovation, providing solutions across various industries, with a strong commitment to environmental sustainability and AI research for ecological applications. We leverage advanced technologies to address global environmental challenges, contributing to a more sustainable future for the planet. Our team in Mississauga is at the forefront of developing intelligent systems that help understand, monitor, and protect natural ecosystems.
Job Description
Join our cutting-edge Environmental AI Research team as an Ecology Video Labeler. In this critical role, you will meticulously analyze and annotate video footage capturing diverse ecological subjects, including wildlife, plant life, and environmental changes. The high-quality data you generate will be instrumental in training and validating sophisticated AI models designed for environmental monitoring, conservation, and scientific discovery. Your keen eye for detail and dedication to accuracy will directly contribute to advancements in ecological understanding and protection.
Key Responsibilities
- Precisely label and categorize objects, species, behaviors, and environmental features within extensive datasets of ecological video footage.
- Utilize specialized annotation software to accurately tag and segment video frames according to predefined guidelines and protocols.
- Ensure the highest standards of data accuracy, consistency, and completeness across all labeling tasks.
- Collaborate effectively with AI researchers, data scientists, and ecologists to refine labeling methodologies and improve data quality for model training.
- Identify, document, and report any anomalies, inconsistencies, or technical issues encountered in video data or annotation tools.
- Actively contribute to the development and optimization of best practices for ecological video annotation and data management.
Required Skills
- Exceptional attention to detail and a commitment to data accuracy.
- Strong observational skills with the ability to discern subtle ecological features and patterns.
- Proficiency with computer software, including data entry and basic image/video viewing applications.
- Ability to comprehend and meticulously follow complex instructions and adapt to evolving project guidelines.
- A fundamental understanding of ecological concepts or a demonstrable passion for environmental science and conservation.
- Excellent time management, organizational, and self-motivation skills.
Preferred Qualifications
- Prior experience with video annotation, image labeling, or other forms of data tagging.
- Previous involvement in ecological field work, environmental data collection, or research.
- Familiarity with various flora and fauna species, particularly those found in North American ecosystems.
- A degree or diploma in Environmental Science, Biology, Zoology, Ecology, Conservation, or a related scientific field.
Perks & Benefits
- Comprehensive health, dental, and vision insurance plans.
- Generous paid time off, holidays, and sick leave.
- Opportunities for continuous learning, professional development, and training in AI, data science, and environmental domains.
- Employee assistance programs and wellness initiatives.
- Access to state-of-the-art research facilities and pioneering technology.
- A vibrant, collaborative, and inclusive work environment dedicated to making a positive global impact.
- On-site amenities including a cafeteria and fitness facilities.
How to Apply
If you are interested in this position, please click the "Apply Now" button below. To ensure your application is properly considered, please prepare the following:
- An up-to-date Resume or CV
- A brief cover letter summarizing your experience and motivation
Applications are reviewed on a rolling basis. Only shortlisted candidates will be contacted for an interview.
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