About the Company
Capgemini is a global leader in partnering with companies to transform and manage their business by harnessing the power of technology. The Group is guided every day by its purpose of unleashing human energy through technology for an inclusive and sustainable future. It is a responsible and diverse organization of 340,000 team members in more than 50 countries. With its strong 55-year heritage and deep industry expertise, Capgemini is trusted by its clients to address the entire breadth of their business needs, from strategy and design to operations, driven by the fast evolving and innovative world of cloud, data, AI, connectivity, software, digital engineering and platforms. Our Green IT Projects division is dedicated to leveraging technology for environmental good, focusing on sustainable solutions and data-driven insights to protect our planet.
Job Description
We are seeking a meticulous and environmentally conscious Ecological Image Tagger to join our Green IT Projects team in Coventry. In this vital role, you will be responsible for accurately annotating and categorizing vast datasets of ecological imagery. Your work will directly support the development and training of advanced Artificial Intelligence and Machine Learning models used in critical environmental monitoring, conservation, and sustainability initiatives. This is an excellent opportunity for individuals passionate about the environment and looking to contribute to impactful green technology solutions, even if you are new to the field of data tagging. You will work closely with data scientists, environmental specialists, and project managers to ensure the highest quality of data for our innovative projects.
Key Responsibilities
- Accurately tag, classify, and annotate ecological images and video frames according to detailed project guidelines.
- Ensure the quality and consistency of annotated data, identifying and correcting any discrepancies.
- Collaborate with data science and environmental teams to understand project requirements and refine tagging protocols.
- Maintain strict adherence to data integrity, confidentiality, and security standards.
- Contribute to the continuous improvement of annotation processes and tools.
- Manage and organize large volumes of image data effectively.
- Participate in training sessions to enhance knowledge of ecological concepts and tagging software.
Required Skills
- Exceptional attention to detail and precision in work.
- Proficiency in basic computer operations and data entry.
- Strong ability to follow complex instructions accurately and consistently.
- Good organizational and time management skills.
- A genuine interest in environmental conservation, biology, ecology, or related fields.
- Ability to work independently and as part of a collaborative team.
- Basic understanding of image analysis concepts (training provided).
Preferred Qualifications
- Previous experience with image annotation or data tagging tools.
- A degree or diploma in Environmental Science, Biology, Geography, Forestry, or a related discipline.
- Familiarity with GIS software or remote sensing data.
- Exposure to AI/ML concepts and their application in environmental contexts.
- Experience working with large datasets.
Perks & Benefits
- Competitive salary and performance-based bonuses.
- Comprehensive health and wellness benefits package.
- Generous pension scheme.
- Opportunities for professional development and career growth within a global organization.
- Access to a wide range of learning and development resources.
- A collaborative and inclusive work environment.
- Contribution to meaningful green IT projects with real-world environmental impact.
- Employee assistance program.
- On-site facilities and a dynamic workplace culture.
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://career.westfordtrust.com.
If you suspect a fraudulent listing or have any questions, please contact us at techturna@gmail.com.