Forestry and Land Management Scientist (AI Training)

Alignerr Corp.; Brasil; Remote; BRL 34,000 - 83,000; Part time

Benefits offered by this job

Fully remote

Job summary

Alignerr Corp. is seeking experienced forestry and land-management scientists to evaluate AI systems trained on sustainable forestry. This remote, hourly contract offers 10–40 hours per week and requires 3+ years in the field.

You will assess AI outputs, identify issues, and provide actionable feedback while working independently on a flexible schedule. Join a cutting-edge project that shapes AI understanding of forest ecosystems and land-use decisions, with global collaboration and ongoing

Qualifications

• 3+ years hands-on forestry or land management experience.
• Ability to review AI training data for ecological relevance.
• Ability to critique environmental content and provide structured feedback.

Responsibilities

• Review forestry and land management scenarios used in AI training datasets.
• Assess accuracy of AI-generated content on forest health and sustainability.
• Identify errors or oversimplifications in AI outputs.
• Provide structured feedback to improve AI reasoning.
• Work independently and asynchronously on your schedule.

Skills

Forestry expertise

Land management

Critical evaluation

Attention to detail

Education

Degree in Forestry or Environmental Science

Job description

About The Role

We're looking for experienced forestry and land management scientists to help evaluate and improve AI systems trained on sustainable forestry and land-use practices. Your field expertise will directly shape how AI understands forest ecosystems, management strategies, and environmental decision-making — making a real-world impact from wherever you work.

• Organization: Alignerr (Powered by Labelbox)


• Type: Hourly / Task-based Contract


• Location: Remote


• Commitment: 10–40 hours/week

About The Role

We're looking for experienced forestry and land management scientists to help evaluate and improve AI systems trained on sustainable forestry and land-use practices. Your field expertise will directly shape how AI understands forest ecosystems, management strategies, and environmental decision-making — making a real-world impact from wherever you work.

• 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


• Identify errors, oversimplifications, or misleading recommendations in AI outputs


• Provide clear, structured feedback to improve how AI reasons through applied environmental problems


• 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 understanding of forest ecosystems, silviculture, and sustainable land-use practices


• Able to critically evaluate applied environmental decision-making and technical content


• Comfortable reviewing and annotating written technical material


• Detail-oriented and self-motivated with the ability to meet deadlines independently

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 content evaluation or data annotation workflows

Why Join Us

• Work on cutting-edge AI projects with leading research labs


• Fully remote and flexible — work on your own schedule


• Freelance perks: autonomy, variety, and global collaboration


• Contribute to meaningful work that shapes how AI handles real environmental challenges


• Potential for ongoing work and contract extension