Natural Resource Conservation Scientist

Alignerr Corp.; Buenos Aires; Remote; ARS 83,458,000 - 166,916,000; Part time

Job summary

Alignerr Corp. is seeking a Natural Resource Conservation Scientist for AI training review. You will evaluate environmental science content used in AI datasets and provide structured feedback to improve accuracy and reasoning.

This fully remote, hourly contract role offers flexible scheduling (10–40 hours/week) and collaboration with a global team. Master’s or PhD preferred, with 3+ years in the field.

Qualifications

• 3+ years of professional experience in natural resource conservation, land management, or environmental science.
• Strong foundational knowledge of ecosystems and conservation principles.
• Ability to critically evaluate scientific reasoning with precision.
• Experience reviewing written content and delivering detailed feedback.

Responsibilities

• Review conservation science questions and content used in AI training datasets.
• Evaluate the accuracy of AI-generated content related to land use, ecosystems, and biodiversity.
• Assess whether outputs reflect real-world conservation practices and sound reasoning.
• Identify errors and provide structured, actionable feedback.
• Help improve AI reasoning in environmental domains, working asynchronously.

Skills

Natural resource conservation

Ecosystems

Conservation science

Critical evaluation

Remote collaboration

Education

Master's degree

PhD preferred

Tools

AI content evaluation

Data annotation workflows

Job description

Natural Resource Conservation Scientist (AI Training)

Your expertise in ecosystems, land management, and conservation science is exactly what's needed to help shape the next generation of AI. We're looking for experienced natural resource conservation scientists to evaluate and improve AI systems trained on environmental science content — ensuring that AI reasoning reflects real-world conservation knowledge and best practices.

This is a fully remote, flexible contract role where your scientific background drives meaningful impact on how AI understands and communicates complex environmental topics.

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

What You'll Do

• Review conservation science questions, scenarios, and content used in AI training datasets
• Evaluate the scientific accuracy of AI-generated content related to land use, ecosystems, soil health, water systems, and biodiversity
• Assess whether AI-generated recommendations reflect real-world conservation practices and sound scientific reasoning
• Identify errors, gaps, or misleading outputs and provide clear, structured feedback
• Help improve the overall quality of AI reasoning in environmental and natural resource domains
• Work independently and asynchronously on your own schedule

Who You Are

• 3+ years of professional experience in natural resource conservation, land management, or environmental science
• Strong foundational knowledge of ecosystems, conservation principles, and applied land management
• Able to critically evaluate scientific reasoning and applied recommendations with precision
• Comfortable reviewing structured written content and delivering detailed, actionable feedback
• Self-motivated and reliable in a remote, task-based work environment

Nice to Have

• Master's degree or PhD in Natural Resources, Environmental Science, Ecology, or a related field
• Hands-on fieldwork or applied conservation project experience
• Familiarity with AI systems, content evaluation, or data annotation workflows

Why Join Us

• Work on cutting-edge AI projects with top research labs shaping the future of environmental AI
• Fully remote and flexible — work on your own schedule from anywhere
• Freelance perks: autonomy, variety, and collaboration with a global community of experts
• Contribute to meaningful work that helps AI better understand and support conservation science
• Potential for ongoing work and contract extension