About the Company
WSP is a leading global engineering and professional services consulting firm. We are dedicated to delivering innovative and sustainable solutions across various sectors, including Environment, Transportation, Property & Buildings, Water, and Energy. Our Environmental team leverages cutting-edge technology, including AI, to tackle complex ecological challenges and contribute to a more sustainable future. Join us in shaping the world of tomorrow.
Job Description
We are seeking a meticulous and environmentally conscious Ecology Video Labeler to join our innovative Environmental AI team. In this role, you will be crucial in training advanced AI models by accurately identifying and labeling ecological features within video footage. This position requires a keen eye for detail and a passion for environmental science, contributing directly to projects that monitor biodiversity, assess habitat health, and support conservation efforts using artificial intelligence. You will work with diverse datasets, applying your understanding of flora, fauna, and environmental characteristics to enhance the precision and effectiveness of our AI solutions. If you’re looking to start a career at the intersection of environmental science and cutting-edge technology, this is an excellent opportunity.
Key Responsibilities
- Accurately identify and label diverse ecological features (e.g., specific species of animals, plants, habitat types, environmental conditions) within extensive video datasets.
- Utilize specialized annotation software and tools to meticulously mark, classify, and categorize visual elements according to project guidelines.
- Ensure high levels of data quality, consistency, and adherence to established protocols and taxonomies.
- Collaborate closely with AI engineers, data scientists, and environmental specialists to refine labeling strategies and improve model performance.
- Provide constructive feedback on tools and processes to enhance workflow efficiency and data accuracy.
- Manage and prioritize labeling tasks to meet project deadlines and contribute to overall team objectives.
- Maintain confidentiality and security of sensitive environmental data.
Required Skills
- Exceptional attention to detail and strong visual discrimination skills.
- Proficiency in basic computer operation and navigating digital interfaces.
- A fundamental understanding of ecological concepts, biodiversity, and environmental classification.
- Ability to maintain focus and accuracy during repetitive tasks.
- Strong organizational skills and the ability to manage time effectively.
- Excellent communication skills and the ability to work collaboratively in a team environment.
Preferred Qualifications
- A diploma or degree in Environmental Science, Biology, Ecology, Conservation, or a related field.
- Prior experience with video annotation, image labeling, or data entry, particularly in scientific or environmental contexts.
- Familiarity with geographic information systems (GIS) or environmental monitoring equipment.
- Experience using specialized data labeling platforms or software.
- Demonstrated interest in artificial intelligence, machine learning, and their applications in environmental science.
Perks & Benefits
- Competitive salary and performance-based bonuses.
- Comprehensive health, dental, and vision insurance.
- Generous paid time off, including holidays and sick leave.
- Opportunities for professional development, training, and career advancement within a global firm.
- Contribution to impactful environmental projects and cutting-edge AI research.
- Collaborative and supportive work environment.
- Pension scheme contribution.
- Employee assistance program.
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.
⚠️ Important Disclaimer
Welcome to Westford Trust. We publish job opportunities aggregated from public sources, employers, and job portals. We never charge any fees to access or use our website; all information is provided entirely for free.
Westford Trust does not directly offer or manage these positions, nor are we directly involved in the hiring process for the vacancies published on https://job.westfordtrust.com.
If you suspect a fraudulent listing or have any questions, please contact us at techturna@gmail.com.