About The Role We're looking for experienced forestry and land management scientists to help shape how AI understands sustainable forestry, forest health, and land-use decision-making. Your real-world expertise will directly influence the accuracy and reliability of AI systems used by researchers, policymakers, and conservation professionals 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 AI-generated forestry and land management scenarios for scientific accuracy and practical soundness

Evaluate content related to forest health, biodiversity, land use, and sustainability practices

Identify errors, oversimplifications, or misleading recommendations in AI outputs

Assess the quality of applied environmental decision-making presented by AI systems

Provide clear, structured feedback that helps improve AI reasoning and reliability





Work independently and asynchronously — no meetings required Who You Are 3+ years of hands-on experience in forestry, land management, or a closely related field

Solid working knowledge of forest ecosystems, management techniques, and sustainability principles

Able to critically evaluate applied environmental recommendations and flag inaccuracies

Comfortable reviewing and providing feedback on written technical content

Self-motivated, detail-oriented, and reliable 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 real-world environmental impact

Fully remote and flexible — work when and where it suits you

Freelance perks: autonomy, variety, and global collaboration

Gain exposure to advanced AI systems and how large language models are trained

Potential for ongoing work and contract extension

📌 Forestry and Land Management Scientist (AI Training) (Mumbai)
🏢 Alignerr
📍 Mumbai