Forestry and Land Management Scientist (AI Training)

Alignerr Corp.; France; Remote; EUR 21,000 - 55,000; Part time

Benefits offered by this job

Fully remote

Flexible schedule

Global collaboration

Job summary

Alignerr Corp. is seeking experienced forestry and land management scientists to influence the next generation of AI.

This remote, hourly-contract role lets you contribute real-world expertise on forest ecosystems and sustainable land use on your own schedule. You will review training scenarios, assess AI-generated content for forest health and planning accuracy, and provide structured feedback to improve environmental reasoning.

Qualifications

• 3+ years hands-on experience in forestry, land management, or a closely related field.
• Strong working knowledge of forest ecosystems and sustainable management practices.
• Able to critically evaluate applied environmental decision-making scenarios.
• Comfortable reading and assessing technical written content.

Responsibilities

• Review forestry and land management scenarios used to train AI systems.
• Assess the accuracy of AI-generated content related to forest health, land use planning, and sustainability practices.
• Identify errors, oversimplifications, or flawed reasoning in management recommendations.
• Provide clear, structured feedback that improves how AI applies scientific and environmental logic.
• Work independently and asynchronously — on your own schedule.

Skills

Forestry expertise

Environmental assessment

Critical evaluation

Detail-oriented

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 real-world expertise will directly influence how AI systems understand and reason about forest ecosystems, sustainable land use, and environmental decision-making — work that matters far beyond the screen.

• Organization: Alignerr (Powered by Labelbox)
• Type: Hourly Contract
• Location: Remote
• Commitment: 10–40 hours/week

About The Role

We're looking for experienced forestry and land management scientists to help shape the next generation of AI. Your real-world expertise will directly influence how AI systems understand and reason about forest ecosystems, sustainable land use, and environmental decision-making — work that matters far beyond the screen.

• 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 to train AI systems
• Assess the accuracy of AI-generated content related to forest health, land use planning, and sustainability practices
• Identify errors, oversimplifications, or flawed reasoning in management recommendations
• Provide clear, structured feedback that improves how AI applies scientific and environmental logic
• 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 and sustainable management practices
• Able to critically evaluate applied environmental decision-making scenarios
• Comfortable reading and assessing technical written content
• Detail-oriented, self-motivated, and reliable
• No prior AI experience required

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 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
• Contribute to meaningful work that improves how AI understands our natural worldPotential for ongoing work and contract extension