About the Company
Booz Allen Hamilton is a global management and technology consulting firm providing solutions to the most critical challenges facing public and private sectors. With a century of experience, we combine a consulting heritage with a passion for scientific exploration and technological innovation. Our commitment extends to leveraging cutting-edge AI and data science to address complex environmental challenges, supporting agencies and organizations in understanding and protecting our planet.
Job Description
We are seeking a meticulous and dedicated Ecology Video Labeler to join our Environmental AI Research team. In this critical role, you will be responsible for accurately annotating and categorizing video footage of various ecological environments, wildlife, and natural phenomena. Your precise work will directly support the development and refinement of advanced artificial intelligence models designed to monitor biodiversity, track environmental changes, and inform conservation strategies. This entry-level position is perfect for individuals passionate about the environment, with a keen eye for detail and a desire to contribute to impactful scientific research.
Key Responsibilities
- Precisely label and annotate objects, activities, and events within ecological video datasets according to predefined guidelines and taxonomies.
- Categorize wildlife species, plant types, environmental conditions, and human impacts observed in video footage.
- Maintain high standards of data accuracy and consistency across all labeling tasks.
- Collaborate with data scientists and environmental researchers to understand project requirements and improve labeling protocols.
- Provide constructive feedback on labeling tools and guidelines to enhance efficiency and data quality.
- Assist in quality assurance checks of labeled data to ensure accuracy and completeness.
- Manage and organize large volumes of video data effectively.
Required Skills
- Exceptional attention to detail and accuracy.
- Strong observational skills and ability to identify subtle visual cues.
- Proficiency with basic computer operations and data entry.
- Ability to follow complex instructions and adapt to evolving guidelines.
- Demonstrated interest in ecology, environmental science, or conservation.
- Excellent time management and organizational skills.
Preferred Qualifications
- Prior experience with video annotation or image labeling software.
- Basic knowledge of ecological principles, wildlife identification, or environmental monitoring.
- Familiarity with data quality control processes.
- Experience working in a research or data-intensive environment.
Perks & Benefits
- Comprehensive health, dental, and vision insurance.
- Paid time off, including vacation, sick leave, and holidays.
- 401(k) retirement plan with company match.
- Professional development and training opportunities.
- Tuition reimbursement program.
- Employee assistance program.
- Opportunity to work on projects that make a real-world environmental 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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