About the Company
Google’s mission is to organize the world’s information and make it universally accessible and useful. We are committed to using technology for positive impact, including significant investments in environmental sustainability and AI for good initiatives. Our Vancouver office is a hub for innovation, contributing to global projects that push the boundaries of technology and address some of the world’s most pressing challenges, including climate change and biodiversity conservation.
Job Description
Join Google’s innovative team in Vancouver as a Nature & Wildlife Labeler, contributing to cutting-edge Green Tech AI Projects. In this role, you will play a crucial part in training sophisticated AI models by accurately identifying and labeling various forms of environmental data, including images and sounds of flora, fauna, and ecological phenomena. Your meticulous work will directly support projects aimed at biodiversity monitoring, habitat protection, and sustainable resource management, leveraging artificial intelligence to create a healthier planet.
Key Responsibilities
- Accurately identify and label objects, species, and events in vast datasets of images, videos, and audio recordings related to nature and wildlife.
- Follow detailed guidelines and project specifications to ensure consistency and quality in data labeling.
- Utilize specialized annotation tools to mark and categorize data points, contributing to the development of robust AI models.
- Collaborate with AI engineers and researchers to understand project goals and improve labeling workflows.
- Provide feedback on labeling tools and processes to enhance efficiency and accuracy.
- Participate in quality assurance reviews to maintain high data integrity standards.
Required Skills
- High attention to detail and strong observational skills.
- Proficiency in using computer applications and online tools.
- A genuine interest in nature, wildlife, and environmental conservation.
- Ability to concentrate for extended periods on detailed tasks.
- Strong communication skills and ability to work effectively in a team.
- Basic understanding of ecological concepts or willingness to learn quickly.
Preferred Qualifications
- Previous experience with data annotation, labeling, or quality assurance.
- Familiarity with biodiversity, botany, zoology, or environmental science concepts.
- Experience using GIS software or other geospatial tools.
- Understanding of machine learning basics and AI model training processes.
Perks & Benefits
- Comprehensive health, dental, and vision insurance.
- Generous paid time off and holidays.
- On-site fitness centers and wellness programs.
- Free meals and snacks.
- Opportunities for professional development and career growth.
- Access to innovative technologies and cutting-edge projects.
- Employee stock purchase plan and retirement savings plans.
- Dynamic and inclusive work environment.
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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