Forestry and Land Management Scientist (AI Training)

Alignerr Corp.; Mumbai; Remote; INR 827.000 - 1.378.000; Teilzeit

Benefits dieser Stelle

Fully remote

Flexible hours

Freelance collaboration

Zusammenfassung

Alignerr Corp. in a fully remote freelance role seeks experienced forestry and land management scientists to shape how AI understands sustainable forestry and land-use decisions.

You will review AI-generated scenarios, assess biodiversity and forest health content, flag inaccuracies, and provide clear feedback to improve AI reasoning. This contract offers flexible hours and international collaboration.

Qualifikationen

• 3+ years hands-on forestry/land management experience.
• Strong knowledge of forest ecosystems and sustainability principles.
• Ability to critically evaluate AI-generated environmental recommendations.

Aufgaben

• Review AI-generated forestry and land management scenarios for accuracy.
• Evaluate content related to forest health, biodiversity, and land use.
• Identify errors, oversimplifications, or misleading recommendations in AI outputs.
• Assess the quality of environmental decision-making presented by AI systems.
• Provide clear, structured feedback to improve AI reasoning and reliability.
• Work independently and asynchronously — no meetings required.

Kenntnisse

Forestry expertise

Land management

Critical evaluation

Content review

Self-motivation

Ausbildung

Forestry degree

Jobbeschreibung

About The Role

We're looking for experienced forestry and land management scientists to help shape how AI understands sustainable forestry, forest health, and land-use decision-making. Your real-world expertise will directly influence the accuracy and reliability of AI systems used by researchers, policymakers, and conservation professionals worldwide.

This is a fully remote, flexible contract role — work on your own schedule while making a meaningful contribution to the future of AI in environmental science.

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

What You'll Do

• Review AI-generated forestry and land management scenarios for scientific accuracy and practical soundness
• Evaluate content related to forest health, biodiversity, land use, and sustainability practices
• Identify errors, oversimplifications, or misleading recommendations in AI outputs
• Assess the quality of applied environmental decision-making presented by AI systems
• Provide clear, structured feedback that helps improve AI reasoning and reliability
• Work independently and asynchronously — no meetings required

Who You Are

• 3+ years of hands-on experience in forestry, land management, or a closely related field
• Strong working knowledge of forest ecosystems, management techniques, and sustainability principles
• Able to critically evaluate applied environmental recommendations and flag inaccuracies
• Comfortable reviewing and providing feedback on written technical content
• Self-motivated, detail-oriented, and reliable

Nice to Have

• Degree in Forestry, Natural Resources, Environmental Science, or a related discipline
• Experience with land-use planning, conservation programs, or regulatory compliance
• Familiarity with AI systems or content evaluation workflows

Why Join Us

• Work on cutting-edge AI projects with real-world environmental impact
• Fully remote and flexible — work when and where it suits you
• Freelance perks: autonomy, variety, and global collaboration
• Gain exposure to advanced AI systems and how large language models are trained
• Potential for ongoing work and contract extension