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
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