Forestry and Land Management Scientist (AI Training)

Alignerr Corp.; Johannesburg; Remote; ZAR 568,000 - 1,363,000; Full time

Job summary

Alignerr Corp. is seeking experienced forestry and land management scientists to shape AI understanding of sustainable forestry and land-use decisions. You will influence AI training data and provide expert feedback remotely on a flexible hourly contract.

Ideal candidates have 3+ years in forestry, silviculture knowledge, and strong content-review skills. This role supports asynchronous work with 10–40 hours per week and potential for ongoing collaboration.

Qualifications

• 3+ years hands-on experience in forestry or land management.
• Strong understanding of forest ecosystems and silviculture.
• Ability to review applied environmental content and provide feedback.

Responsibilities

• Review forestry and land management scenarios used in AI training datasets.
• Assess the accuracy of AI-generated content related to forest health and land use.
• Identify errors, oversimplifications, or flawed recommendations.
• Provide structured expert feedback to improve AI reasoning.
• Work independently and asynchronously on task-based assignments.

Skills

Forestry

Land management

Critical evaluation

Written content

Detail-oriented

Education

Degree in Forestry

Job description

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, practitioners, and policymakers worldwide.

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, practitioners, and policymakers worldwide.

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

• 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 practices
• Identify factual errors, oversimplifications, or flawed management recommendations
• Provide structured, expert 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 understanding of forest ecosystems, silviculture, and sustainable land management principles
• Able to critically evaluate applied environmental decision‑making scenarios
• 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 field
• Experience with land‑use planning, conservation programs, or regulatory frameworks
• Familiarity with AI systems or content evaluation workflows

Why Join Us

• Work on cutting-edge AI projects with top research labs and tech teams
• Fully remote and flexible — set your own hours and work from anywhere
• Freelance perks: autonomy, variety, and global collaboration
• Apply your domain expertise in a meaningful new way
• Potential for ongoing work and contract extension