Forestry and Land Management Scientist (AI Training)

Alignerr Corp.; Dublin; Remote; EUR 34,000 - 55,000; Full time

Benefits offered by this job

Fully remote freelancing

Flexible schedule

Job summary

Alignerr Corp. is seeking experienced forestry and land management scientists to help shape how AI understands sustainable forestry, land-use practices, and environmental decision-making.

This fully remote hourly contract role lets you work on your own schedule while contributing to cutting-edge AI research. Review datasets, assess AI-generated content, and provide clear feedback to improve AI reasoning on environmental topics.

Qualifications

• 3+ years of hands-on forestry, land management, or related field experience.
• Strong knowledge of forest ecosystems and sustainable land-use practices.
• Able to evaluate applied environmental decision-making with precision.

Responsibilities

• Review forestry and land management scenarios in AI training datasets.
• Assess AI-generated content related to forest health and sustainability.
• Identify errors or oversimplifications and provide structured feedback.
• Improve AI reasoning on environmental topics through detailed reviews.
• Work independently and asynchronously on task-based assignments.

Skills

Forestry

Land management

Silviculture

Environmental decision-making

Critical evaluation

Education

Degree in Forestry or related discipline

Tools

AI tools

Content evaluation workflows

Data annotation platforms

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 practices, and environmental decision-making. Your real-world expertise will directly influence the accuracy and reliability of AI systems being built for the future.

About The Role

We're looking for experienced forestry and land management scientists to help shape how AI understands sustainable forestry, land-use practices, and environmental decision-making. Your real-world expertise will directly influence the accuracy and reliability of AI systems being built for the future. 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 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 errors, oversimplifications, or misleading recommendations in management guidance
• 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 foundational knowledge of forest ecosystems, silviculture, and sustainable land-use practices
• Able to critically evaluate applied environmental decision-making and management scenarios
• Comfortable reviewing and responding to written technical content with precision
• Self-motivated and reliable when working independently in a remote setting
  

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 tools, content evaluation workflows, or data annotation platforms
  

Why Join Us

• Work on cutting-edge AI projects with top research labs and technology teams
• Fully remote and flexible — complete tasks on a schedule that works for you
• Freelance perks: autonomy, variety, and collaboration with a global network of experts
• Contribute to meaningful work that ensures AI gets environmental science right
• Potential for ongoing work and contract extension as projects grow