Forestry and Land Management Scientist (AI Training)

Alignerr

Forestry and Land Management Scientist (AI Training)

About the Role

We're looking for experienced forestry and land management scientists to help shape how AI understands sustainable forestry, forest ecosystems, and land-use practices. Your field expertise will directly influence the accuracy and reliability of AI systems used by researchers, practitioners, and conservationists worldwide.

This is a fully remote, flexible contract role - work on your own schedule and make a meaningful contribution to cutting-edge AI development.

Organization
: Alignerr (Powered by Labelbox)
Type
: Hourly Contract
Location
: Remote
Commitment
: 10-40 hours/week

What You'll Do

Review AI-generated forestry and land management scenarios for factual accuracy and practical soundness
Assess content related to forest health, ecosystem dynamics, land use planning, and sustainability practices
Identify errors, oversimplifications, or misleading recommendations in AI outputs
Provide clear, structured feedback that helps improve AI reasoning and applied decision-making
Work independently and asynchronously on task-based assignments that fit your 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, management strategies, and sustainability frameworks
Able to critically evaluate applied environmental and land-use decision-making
Comfortable reading and assessing technical written content
Detail-oriented and self-motivated with the ability to work independently

Nice to Have

Degree in Forestry, Natural Resources, Environmental Science, or a related discipline
Experience with land-use planning, conservation programs, or regulatory compliance
Familiarity with AI systems or content evaluation workflows

Why Join Us

Work on cutting-edge AI projects with top research labs
Fully remote and flexible - work on your own schedule, from anywhere
Freelance perks: autonomy, variety, and global collaboration
Contribute to meaningful work that helps AI better understand the natural world
Potential for ongoing work and contract extension

Apply

Vacancy posted 3 days ago

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