About the Company
Google DeepMind is a world leader in AI research and its application for the benefit of humanity. We are committed to developing AI that can solve some of the world’s most complex challenges, including those related to environmental sustainability and conservation. Our teams bring together top talent from diverse fields to push the boundaries of machine learning and its real-world impact.
Job Description
Join our innovative team at Google DeepMind as an Ecology Video Labeler, contributing to cutting-edge environmental AI research. In this role, you will be crucial in preparing and annotating video data from various ecological settings, supporting the development of advanced machine learning models designed to monitor, understand, and protect biodiversity. Your meticulous work will directly enable AI systems to identify species, track environmental changes, and provide insights that inform conservation efforts globally. This is an exciting opportunity for individuals passionate about environmental science and keen to apply their attention to detail in a high-tech research environment.
Key Responsibilities
- Precisely annotate and label objects, species, behaviors, and environmental features within ecological video footage.
- Adhere strictly to detailed labeling guidelines and quality control protocols to ensure data accuracy and consistency.
- Collaborate with AI researchers and ecologists to refine labeling criteria and improve data quality.
- Perform quality assurance checks on labeled data, identifying and correcting discrepancies.
- Document labeling processes and challenges, contributing to the continuous improvement of annotation workflows.
- Manage and organize large datasets of video files efficiently.
- Provide feedback on tools and processes to enhance labeling efficiency and accuracy.
Required Skills
- Exceptional attention to detail and strong observational skills.
- Proficiency with basic computer applications and data entry.
- Ability to follow complex instructions and adhere to guidelines rigorously.
- Strong organizational and time management skills.
- A genuine interest in ecology, wildlife, and environmental conservation.
- Ability to work independently and as part of a team in a fast-paced research environment.
Preferred Qualifications
- Previous experience with video annotation, image labeling, or data entry in a scientific context.
- Basic understanding of ecological concepts or biology.
- Familiarity with GIS software or environmental data platforms.
- Experience using data labeling tools or software.
- Associate's or Bachelor's degree in Environmental Science, Biology, Zoology, or a related field.
Perks & Benefits
- Comprehensive health, dental, and vision insurance plans.
- Generous paid time off, including holidays and sick leave.
- On-site amenities, including cafeterias with diverse meal options.
- Access to professional development courses and learning opportunities.
- Employee assistance programs and wellness initiatives.
- Retirement savings plans with company match.
- Opportunities to work on projects with significant global impact.
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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