Forestry and Land Management Scientist (AI Training)

About The Role
We're looking for forestry and land management scientists to help shape how AI understands sustainable forest management, land-use planning, and environmental decision-making. Your real-world expertise will directly influence the accuracy and reliability of AI systems used by researchers, practitioners, and policymakers worldwide.
This is a fully remote, flexible contract role — work on your own schedule while making a meaningful contribution to the future of AI in environmental science.
Organization: Alignerr (Powered by Labelbox)
Type: Hourly / Task-based Contract
Location: Remote
Commitment: 10–40 hours/week
What You'll Do
Review forestry and land management scenarios used in AI training datasets
Assess the accuracy, depth, and scientific soundness of content related to forest health, land use, and sustainability
Identify factual errors, oversimplifications, or flawed management recommendations
Provide clear, structured feedback that improves AI reasoning on applied environmental topics
Work independently and asynchronously to complete task-based assignments on your own schedule
Who You Are
3+ years of hands-on experience in forestry, land management, or a closely related field
Strong working knowledge of forest ecosystems, silviculture, and sustainable land-use practices
Ability to critically evaluate applied environmental decision-making and management scenarios
Comfortable reviewing and responding to written technical content
Self-motivated, reliable, and able to work independently without close supervision
Nice to Have
Degree in Forestry, Natural Resources, Environmental Science, or a related discipline
Experience with land-use planning, conservation programs, or environmental policy
Familiarity with AI content evaluation, annotation, or data labeling workflows
Why Join Us
Work on cutting-edge AI projects with top research labs
Fully remote and flexible — work on your own schedule, anywhere
Freelance perks: autonomy, variety, and global collaboration
Contribute to meaningful work that improves how AI handles real environmental challenges
Potential for ongoing work and contract extension

Work arrangement
Yes