Forestry and Land Management Scientist (AI Training)

Alignerr Corp.; United States; Remote; USD 34,000 - 83,000; Part time

Benefits offered by this job

Autonomy

Global collaboration

Job summary

Alignerr Corp. seeks forestry and land management scientists to help shape how AI understands sustainable forestry, forest ecosystems, and land-use practices.

Your field expertise will influence the accuracy and reliability of AI systems used by researchers, planners, and conservation professionals — making a real-world impact from wherever you work. Fully remote, flexible asynchronous commitment as a freelance contractor, with opportunities for ongoing collaboration and meaningful environmental

Qualifications

• 3+ years of hands-on experience in forestry, land management, or closely related field.
• Strong understanding of forest ecosystems, silviculture, and sustainable land-use practices.
• Able to critically evaluate applied environmental and resource management decision-making.
• Comfortable reading and assessing written technical content.
• Detail-oriented and self-motivated.
• No prior AI experience required.

Responsibilities

• Review AI-generated forestry and land management scenarios for scientific accuracy and practical soundness
• Assess content related to forest health, land use planning, ecosystem management, and sustainability
• Identify errors, oversimplifications, or gaps in AI-generated management recommendations
• Provide structured, expert feedback to improve applied reasoning and decision-making in AI outputs
• Work independently and asynchronously on your own schedule

Skills

Forestry

Land management

Ecosystem knowledge

Technical writing

Self-motivation

Detail-oriented

AI content evaluation

Education

Degree in Forestry, Natural Resources, Environmental Science, or related field

Related field degrees

Tools

AI tools familiarity

Job description

About The Role

We're looking for 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, planners, and conservation professionals — making a real-world impact from wherever you work.

• Organization: Alignerr
• Type: Hourly Contract
• Location: Remote
• Commitment: Flexible, asynchronous

What You'll Do

• Review AI-generated forestry and land management scenarios for scientific accuracy and practical soundness
• Assess content related to forest health, land use planning, ecosystem management, and sustainability
• Identify errors, oversimplifications, or gaps in AI-generated management recommendations
• Provide structured, expert feedback to improve applied reasoning and decision-making in AI outputs
• 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 understanding of forest ecosystems, silviculture, and sustainable land-use practices
• Able to critically evaluate applied environmental and resource management decision-making
• Comfortable reading and assessing written technical content
• Detail-oriented and self-motivated
• No prior AI experience required

Nice to Have

• Degree in Forestry, Natural Resources, Environmental Science, or a related field
• Experience with land-use planning, conservation programs, or regulatory frameworks
• 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 on your own schedule
• Freelance perks: autonomy, variety, and global collaboration
• Contribute to meaningful work that improves how AI handles critical environmental topics
• Potential for ongoing work and contract extension