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 how next-generation AI systems reason about environmental decision-making — making a real-world impact from wherever you work.

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 and quality of AI-generated content related to forest health, land use, and sustainability

Identify errors, oversimplifications, or misleading recommendations in AI outputs

Provide clear, structured feedback to improve applied environmental reasoning in AI systems

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 planning

Able to critically evaluate applied environmental and management decision-making

Comfortable reviewing and assessing written technical content

Detail-oriented, self-motivated, and reliable Nice to Have Degree in Forestry, Natural Resources, Environmental Science, or a related discipline

Experience with conservation programs, land-use planning, or regulatory frameworks

Familiarity with AI content evaluation or data annotation workflows Why Join Us Work on cutting-edge AI projects with top research labs

Fully remote and versátil — work on your own schedule

Freelance perks: autonomy, variety, and global collaboration

Contribute to meaningful work that improves how AI understands the natural world

Potential for ongoing work and contract extension

📌 Forestry and Land Management Scientist (AI Training) (Ciudad de México)
🏢 Alignerr
📍 Ciudad de México