Your expertise in environmental management could help shape how AI understands one of the most important fields on the planet. We're looking for experienced environmental professionals to evaluate and improve AI systems trained on sustainability, land-use planning, and environmental decision-making.
This is a fully remote, flexible contract role where your real-world knowledge directly influences the quality and accuracy of next-generation AI tools — no prior AI experience required.
Review and evaluate AI-generated environmental management scenarios, analyses, and recommendations
Assess the quality of AI reasoning related to sustainability frameworks, impact mitigation, and resource planning
Identify gaps between theoretical models and real-world environmental practice
Provide clear, structured feedback to improve the accuracy and applicability of AI outputs
Work independently and asynchronously on your own schedule
Who You Are
3+ years of hands-on experience in environmental management, conservation, or a related field
Strong working knowledge of sustainability frameworks and environmental planning principles
Able to critically evaluate written environmental analyses with a practiced eye
Skilled at providing detailed, constructive, and well-organized feedback
Self-motivated and comfortable working independently in a remote environment
Nice to Have
Master's degree in Environmental Management, Environmental Science, or a related field
Experience with environmental policy, regulatory compliance, or permitting frameworks
Familiarity with AI systems, content evaluation, or annotation workflows
Why Join Us
Work on cutting-edge AI projects with top research labs — and make a real environmental impact
Fully remote and flexible — work when and where it suits you
Freelance perks: autonomy, variety, and general c
📌 Environmental Management Scientist (Ciudad de México)
🏢 Alignerr
📍 Ciudad de México
Postulate a este anuncio
Muestra tus habilidades a la empresa, rellenar el formulario y deja un toque personal en la carta, ayudará el reclutador en la elección del candidato.