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Forestry and Land Management Scientist (AI Training)

Alignerr

AI & Data Training Contractor · Part-time
Remote (Global) $30 – $55/hr May 27, 2026

Job description

Forestry and Land Management Scientist (AI Training)

About the Role

We're looking for experienced forestry and land management scientists to help shape the next generation of AI systems. Your field expertise will directly influence how AI understands and communicates sustainable forestry practices, forest health, and land-use decision-making — work that matters far beyond the screen.

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

What You'll Do

  • Review and evaluate AI-generated forestry and land management scenarios for scientific accuracy
  • Assess content related to forest health, ecosystem management, and sustainable land-use practices
  • Identify factual errors, oversimplifications, or flawed management recommendations
  • Provide clear, structured feedback to improve AI reasoning in applied environmental contexts
  • Work independently and asynchronously 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-use frameworks
  • Able to critically evaluate applied environmental decision-making and technical content
  • Clear written communicator who can articulate complex ideas concisely
  • 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 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
  • Freelance perks: autonomy, variety, and global collaboration
  • Use your specialized expertise to make a meaningful impact on how AI handles real-world environmental challenges
  • Potential for ongoing work and contract extension
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