About The Role We're looking for experienced forestry and land management scientists to help shape how AI understands and communicates sustainable forest practices. Your field knowledge will directly improve the accuracy and reliability of AI systems tackling some of the most important environmental challenges of our time. This is a remote, flexible contract role — work on your own schedule while contributing 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 forestry and land management scenarios used in AI training datasets
Assess the accuracy of AI-generated content related to forest health, land use, and sustainability
Identify factual errors, oversimplifications, or flawed management recommendations
Provide clear, structured feedback to improve 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 land management practices
Able to critically evaluate applied environmental decision-making and spot technical inaccuracies
Comfortable reviewing and assessing written technical content
Self-motivated and reliable when working independently
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 tools or content evaluation workflows
Why Join Us
Work on cutting-edge AI projects with top research labs
Fully remote and flexible — work when and where it suits you
Freelance perks: autonomy, variety, and global collaboration
Make a meaningful impact on how AI handles real-world environmental topics
Potential for ongoing work and contract extension
Skills
Human ResourcesTechnology, Information and Internet