Natural Resource Conservation Scientist

Alignerr; Portugal; Teletrabalho; EUR 34 000 - 83 000; Tempo parcial

Vantagens oferecidas por esta oferta de emprego

Fully remote

Freelance autonomy

Potential for ongoing work

Global collaboration

Resumo da oferta

Alignerr is seeking a Natural Resource Conservation Scientist to contribute to AI training datasets and ensure scientifically sound AI outputs related to ecosystems, land use, and conservation practices. The role focuses on reviewing AI-generated content and providing detailed feedback, enabling improved AI reasoning and reliability.

This fully remote, hourly-contract position offers flexible hours (10–40 per week) and the opportunity to impact AI systems globally while collaborating with a

Qualificações

• 3+ years of professional experience in natural resource conservation, land management, or environmental science.
• Strong foundation in ecosystems and conservation principles.
• Ability to critically evaluate scientific reasoning and identify gaps in applied recommendations.

Responsabilidades

• Review conservation science questions used in AI training datasets.
• Evaluate accuracy of AI-generated content on land use, ecosystems, soil/water systems, biodiversity.
• Assess whether AI recommendations reflect sound conservation practices.
• Provide structured, actionable feedback to improve AI reasoning and outputs.
• Work independently and asynchronously on your schedule.

Conhecimentos

3+ years experience in conservation

Ecosystems knowledge

Critical evaluation of AI content

Ability to provide actionable feedback

Formação académica

Masters or PhD in Natural Resources/Environmental Science

Descrição da oferta de emprego

Natural Resource Conservation Scientist (AI Training)

About The Role

Are you a conservation or environmental science professional who wants to make an impact beyond the field? We're looking for experienced natural resource conservation scientists to help shape how AI understands ecosystems, land management, and conservation decision-making.

Your scientific expertise will directly influence the accuracy and reliability of next-generation AI systems — work that matters far beyond any single project.

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

What You'll Do

• Review conservation science questions and real-world scenarios used in AI training datasets
• Evaluate the scientific accuracy of AI-generated content covering land use, ecosystems, soil science, water systems, and biodiversity
• Assess whether AI recommendations reflect sound, real-world conservation practices
• Provide clear, structured feedback to improve AI scientific reasoning and output quality
• Work independently and asynchronously — on your schedule, at your own pace

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 identify gaps or inaccuracies in applied recommendations
• Comfortable reviewing structured written content and providing detailed, actionable feedback
• Self-motivated and reliable when working independently

Nice to Have

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

Why Join Us

• Work on the cutting edge — contribute to advanced AI projects that are shaping how machines understand the natural world
• Fully remote and flexible — work from anywhere, on a schedule that fits your life
• Freelance autonomy — no micromanagement, no commute, no rigid hours
• Meaningful impact — your expertise helps ensure AI gets conservation science rightGlobal collaboration — connect with a diverse, expert community of scientists and researchers
• Potential for ongoing work — strong contributors are considered for contract extensions and new projects