Forestry and Land Management Scientist (AI Training)

Alignerr; Municipio de Rincón de los Sauces; A distancia; ARS 53.224.000 - 106.447.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Autonomy

Flexible schedule

Global collaboration

Descripción de la vacante

Alignerr Corp. is seeking experienced forestry and land management scientists to shape the next generation of AI by reviewing how AI interprets forest health, land use, and sustainability topics.

This fully remote, hourly-contract role offers flexible scheduling (10–40 hours per week) and the opportunity to contribute to environmental AI with leading research labs and global collaborators. Ideal candidates have practical field experience, strong silviculture knowledge, and the ability to provide

Formación

• 3+ years of hands-on forestry or land management experience.
• Strong knowledge of forest ecosystems and sustainable land-use practices.
• Ability to critically review technical content with precision.
• Ability to work independently on remote projects.

Responsabilidades

• Review forestry and land management scenarios used in AI training datasets.
• Assess the accuracy of AI-generated content related to forest health and land use.
• Identify errors or misleading recommendations in AI outputs.
• Provide structured feedback to improve AI reasoning on environmental topics.
• Work independently and asynchronously on own schedule.

Conocimientos

Forestry expertise

Land management

Silviculture knowledge

Environmental science

Educación

Degree in Forestry or related field

Herramientas

AI evaluation workflows

Descripción del empleo

About The Role

We're looking for experienced forestry and land management scientists to help shape the next generation of AI. Your field expertise will directly influence how AI systems understand, reason about, and communicate sustainable forestry and land-use practices — work that matters for the planet and for the future of environmental AI.

• 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 AI reasoning on applied environmental topics
• 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 management recommendations
• Comfortable reading and reviewing technical written content with precision
• Self‑motivated and reliable when working independently on remote projects

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 systems or content evaluation workflows

Why Join Us

• Work on cutting‑edge AI projects with top research labs and leading AI organizations
• Fully remote and flexible — work on your own schedule, from anywhere
• Freelance perks: autonomy, variety, and global collaboration
• Use your domain expertise in a meaningful new way that shapes real‑world AI applications
• Potential for ongoing work and contract extension