About the Company
Microsoft is a global leader in technology, committed to empowering every person and every organization on the planet to achieve more. Through our AI for Earth initiative and other sustainability efforts, we leverage cutting-edge artificial intelligence to address critical environmental challenges, protect biodiversity, and advance green technology. Join a team dedicated to making a tangible impact on the world.
Job Description
We are seeking a detail-oriented and passionate Nature & Wildlife Labeler to join our remote team, contributing to groundbreaking Green Tech AI projects. This role involves meticulously annotating and categorizing data related to wildlife, habitats, and environmental phenomena. Your work will directly support the development of advanced AI models designed to monitor, protect, and understand our planet’s diverse ecosystems. This is a 100% remote position, offering the flexibility to work from your home office.
Key Responsibilities
- Accurately label and annotate images, videos, and audio recordings of nature and wildlife (e.g., identifying species, behaviors, environmental elements).
- Apply specific guidelines and criteria consistently to ensure high data quality for machine learning models.
- Collaborate with AI engineers and scientists to refine labeling instructions and improve annotation workflows.
- Perform quality checks on labeled data to identify and correct inconsistencies or errors.
- Contribute to the continuous improvement of labeling tools and processes.
- Maintain high levels of productivity and data accuracy in a remote work environment.
Required Skills
- Strong attention to detail and ability to follow complex guidelines precisely.
- Proficiency with basic computer applications and web-based tools.
- Genuine interest in nature, wildlife, environmental conservation, or biology.
- Excellent time management and organizational skills.
- Ability to work independently and maintain focus in a remote setting.
- Reliable high-speed internet connection and a dedicated workspace.
Preferred Qualifications
- Prior experience in data annotation, labeling, or quality assurance.
- Background or education in biology, ecology, environmental science, or a related field.
- Familiarity with AI/Machine Learning concepts or tools.
- Experience with image or video editing software.
- Strong research skills to verify species or environmental characteristics.
Perks & Benefits
- Comprehensive health, dental, and vision insurance.
- Paid time off and holidays.
- Employee assistance program.
- Opportunities for professional development and training in AI and green tech.
- Flexible 100% remote work environment.
- Access to Microsoft employee wellness programs and resources.
- Contribution to meaningful projects impacting global sustainability.
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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