Forestry and Land Management Scientist (AI Training)

Alignerr; City of Edinburgh; Remote; GBP 34,000 - 62,000; Part time

Benefits offered by this job

Autonomy

Flexible schedule

Remote work from anywhere

Job summary

Alignerr (Powered by Labelbox) seeks experienced forestry and land management scientists to help shape AI in sustainable forestry, forest health, and land-use management.

This is a fully remote, flexible contract role—work on your own schedule while contributing to cutting-edge AI research. Expect 10–40 hours per week with a task-based arrangement.

Qualifications

• 3+ years hands-on experience in forestry or land management.
• Strong knowledge of forest ecosystems and sustainable practices.
• Able to critically evaluate environmental decision-making scenarios.

Responsibilities

• Review forestry and land management scenarios used in AI training datasets.
• Assess accuracy and depth of AI-generated content related to forest ecosystems.
• Identify factual errors or flawed recommendations in AI outputs.
• Provide structured feedback to improve AI reasoning on environmental topics.
• Work independently to complete task-based assignments on your schedule.

Skills

Forestry

Land management

Environmental assessment

Critical evaluation

Education

Degree in Forestry/Natural Resources/Environmental Science

Job description

About The Role

We're looking for experienced forestry and land management scientists to help shape the next generation of AI. Your field knowledge will directly influence how AI systems understand, reason about, and communicate complex topics in sustainable forestry, forest health, and land-use management.

About The Role

We're looking for experienced forestry and land management scientists to help shape the next generation of AI. Your field knowledge will directly influence how AI systems understand, reason about, and communicate complex topics in sustainable forestry, forest health, and land-use management.

This is a fully remote, flexible contract role — work on your own schedule while contributing to cutting-edge AI research.

• 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 depth of AI-generated content related to forest ecosystems, 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 to complete task-based assignments on your 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, sustainable management practices, and land-use frameworks
• Able to critically evaluate applied environmental decision-making scenarios
• Comfortable reviewing and annotating technical written content
• Self-motivated, detail-oriented, 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 frameworks
• Familiarity with AI systems, content evaluation, or data annotation workflows

Why Join Us

• Work on cutting-edge AI projects alongside leading research organizations
• Fully remote and flexible — set your own hours and work from anywhere
• Freelance perks: autonomy, variety, and collaboration with experts across the globe
• Make a meaningful impact by ensuring AI gets environmental science right
• Potential for ongoing work and contract extension