Environmental Management Scientist (AI Training)
About The Role
We're looking for environmental management professionals to help train and improve the next generation of AI systems. Your real-world expertise in sustainability, land-use planning, and environmental decision-making will directly shape how AI understands and communicates complex environmental topics.
This is a fully remote, flexible contract role — work on your own schedule while making a tangible impact on cutting-edge AI development.
• Organization: Alignerr (Powered by Labelbox)
• Type: Hourly / Task-based Contract
• Location: Remote
• Commitment: 10–40 hours/week
What You'll Do
• 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 approaches and real-world environmental practice
• Provide clear, structured feedback to improve the accuracy and applicability of AI outputs
• Work independently and asynchronously to complete task-based assignments 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 processes
• Able to critically assess written environmental analyses and identify weaknesses
• Comfortable delivering detailed, structured written feedback
• Self-motivated and reliable when working independently
Nice to Have
• Master's degree in Environmental Management, Environmental Science, or a related discipline
• Experience with environmental policy, regulatory frameworks, or compliance
• Familiarity with AI tools or content evaluation workflows
• Background in land-use planning, ecological assessment, or climate adaptation
Why Join Us
• Work on cutting-edge AI projects with top research labs and AI organizations
• Fully remote and flexible — work when and where it suits you
• Freelance perks: autonomy, variety, and collaboration with a global community of experts
• Contribute to meaningful work that helps AI better understand our planet's most pressing challenges
• Potential for ongoing work and contract extension