Forestry and Land Management Scientist (AI Training)

Alignerr Corp.; Atlanta (GA); Remote; USD 34,000 - 62,000; Part time

Benefits offered by this job

Autonomy

Global collaboration

Flexible schedule

Job summary

Alignerr Corp. is seeking experienced forestry and land management scientists to help shape how AI understands and communicates sustainable forest practices. You will review AI training data, assess AI-generated content on forest health and land use, and provide structured feedback to improve environmental AI reasoning.

The role is remote, flexible, and contract-based with 10–40 hours per week. This position offers autonomy and global collaboration on cutting-edge AI projects, with potential for

Qualifications

• 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.
• Ability to critically evaluate applied environmental decision-making and spot technical inaccuracies.

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 to complete task-based assignments on your own schedule.

Skills

Analytical thinking

Independent work

Attention to detail

Education

Degree in Forestry, Natural Resources, Environmental Science

Tools

AI tools familiarity

Content evaluation workflows

Job description

About The Role

We're looking for experienced forestry and land management scientists to help shape how AI understands and communicates sustainable forest practices. Your field knowledge will directly improve the accuracy and reliability of AI systems tackling some of the most important environmental challenges of our time.

We're looking for experienced forestry and land management scientists to help shape how AI understands and communicates sustainable forest practices. Your field knowledge will directly improve the accuracy and reliability of AI systems tackling some of the most important environmental challenges of our time.

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

• Organization: Alignerr (Powered by Labelbox)
• Type: Hourly 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 to complete task-based assignments 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 spot technical inaccuracies
• Comfortable reviewing and assessing written technical content
• Self-motivated 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 environmental policy
• 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 when and where it suits you
• Freelance perks: autonomy, variety, and global collaboration
• Make a meaningful impact on how AI handles real-world environmental topics
• Potential for ongoing work and contract extension