Forestry and Land Management Scientist (AI Training)

Alignerr; España; Remote; EUR 34,000 - 83,000; Part time

Benefits offered by this job

Autonomy

Flexible schedule

Job summary

Alignerr, operating with Labelbox, seeks experienced forestry and land management scientists to shape how AI understands sustainable forestry, land-use planning, and environmental decision-making. You will review scenarios used in AI training datasets and assess content accuracy across forest health and biodiversity topics.

The role is remote, hourly, with 10-40 hours per week, offering flexibility for independent contributors and potential ongoing engagements.

Qualifications

• 3+ years in forestry or land management.
• Knowledge of forest ecosystems and silviculture.
• Ability to review technical environmental content.
• Detail-oriented and independent worker.
• Comfort with asynchronous remote work.

Responsibilities

• Review forestry and land management scenarios used in AI training datasets.
• Assess scientific accuracy of content related to forest health and biodiversity.
• Identify errors or misleading recommendations in AI-generated guidance.
• Provide structured feedback to improve AI reasoning.
• Work independently on your own schedule.

Skills

Forestry expertise

Land management

Critical evaluation

Technical reading

Self-motivation

Education

Degree in Forestry

Tools

AI review workflows

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 planning, and environmental decision-making. Your field expertise will directly influence how next-generation AI systems reason about forest ecosystems - making a real-world impact from wherever you work.

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

What You'll Do

• Review and evaluate forestry and land management scenarios used in AI training datasets
• Assess the scientific accuracy of content related to forest health, land use, biodiversity, and sustainability practices
• Identify errors, oversimplifications, or misleading recommendations in AI-generated management guidance
• Provide clear, structured feedback to improve the applied reasoning of AI systems
• 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, silviculture, and sustainable land-use practices
• Able to critically evaluate applied environmental decision-making and spot technical inaccuracies
• Comfortable reading and reviewing written technical content with precision
• 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 regulatory frameworks
• Familiarity with AI systems or content evaluation workflows

Why Join Us

• Work on cutting-edge AI projects with top research labs and technology teams
• Fully remote and flexible - complete tasks on your own schedule
• Freelance perks: autonomy, variety, and collaboration with a global expert community
• Contribute to meaningful work that helps AI get environmental science right
• Potential for ongoing work and contract extension