Forestry and Land Management Scientist (AI Training)

Alignerr; United States; Remote; GBP 14,000 - 55,000; Part time

Job summary

Alignerr (Powered by Labelbox) is seeking experienced forestry and land management scientists to shape how AI understands sustainable forestry, land-use planning, and ecosystem management. You can work from anywhere on a remote, hourly/task-based contract.

Contribute by reviewing AI training datasets, assessing accuracy of forest health and land-use content, and providing structured feedback. Flexible schedule: 10–40 hours per week, with independent, asynchronous work.

Qualifications

• 3+ years hands-on experience in forestry, land management, or closely related field.
• Strong working knowledge of forest ecosystems, silviculture, and land management practices.
• Clear written communicator who can articulate feedback precisely and constructively.

Responsibilities

• 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 — on your own schedule.

Skills

Forestry experience

Land management

Critical evaluation

Written communication

Self-motivated remote work

Education

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

Job description

About The Role

We're looking for experienced forestry and land management scientists to help shape how AI understands sustainable forestry, land-use planning, and ecosystem management. Your field expertise will directly influence the quality and accuracy of next-generation AI systems — 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

About The Role

We're looking for experienced forestry and land management scientists to help shape how AI understands sustainable forestry, land-use planning, and ecosystem management. Your field expertise will directly influence the quality and accuracy of next-generation AI systems — 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 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 — 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 technical content
• Clear written communicator who can articulate feedback precisely and constructively
• Self-motivated and comfortable managing your own workload remotely

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, content evaluation, or data annotation workflows

Why Join Us

• Work on cutting-edge AI projects with leading research organizations
• Fully remote and flexible — contribute on your own terms and schedule
• Freelance perks: autonomy, variety, and collaboration with a global network of experts
• Use your specialist knowledge in a high-impact, intellectually engaging role
• Potential for ongoing work and contract extension