AI & Computer vision Engineer
Location: Remote
Background
Wildlife conservation efforts around the world rely heavily on camera traps to monitor biodiversity, track species distribution, and understand human–wildlife interactions. However, processing large image datasets remains a major bottleneck for researchers and NGOs, often requiring time-consuming manual classification.
Conservation Mind is developing open, scalable AI pipelines that automate image detection and classification for wildlife monitoring. These tools will support projects in North America, Africa, and Southeast Asia, contributing to better ecological management and species protection.
Project Description
We are seeking a volunteer AI & Computer Vision Engineer to support the design, development, and testing of machine learning models for wildlife identification from camera trap images.
This position offers hands-on experience applying deep learning to conservation data and the opportunity to collaborate within a global, interdisciplinary team.
After this project, participants should be able to:
Understand the end-to-end process of training, validating, and deploying wildlife detection models.
Gain experience managing ecological image datasets and data annotation workflows.
Contribute to open-source conservation AI projects and tools.
Profile
Background in computer science, engineering, or environmental data science.
Experience with Python and deep learning frameworks (TensorFlow, PyTorch).
Understanding of image processing or object detection.
Interest in conservation, ecology, or biodiversity monitoring.
Strong collaboration and communication skills.
Application
This is a remote volunteer position with flexible working hours. To apply, please send your CV and a brief motivation statement to info@conservationmind.com with the subject line “AI & Computer Vision Volunteer Application.”
Conservation Mind encourages applications from all backgrounds and is committed to building an inclusive, diverse, and supportive team.