Remote task-based work checking AI-generated environmental analyses and recommendations for accuracy and practical soundness. It suits practitioners in conservation or environmental management who can write clear, structured feedback.
नौकरी के बारे में
Environmental Management Scientist (AI Training)
About the Role
We're looking for experienced environmental management professionals to help evaluate and improve AI systems trained on sustainability, land-use planning, and environmental decision-making. Your real-world expertise will directly shape how AI understands and communicates complex environmental topics — making a tangible impact on how these tools serve practitioners, policymakers, and the planet.
- Organization : Alignerr (Powered by Labelbox)
- Type : Hourly / Task-based Contract
- Location : Remote
- Commitment : 10–40 hours/week
- Commitment : 10–40 hours/week
- 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 environmental models and real-world practice
- Flag inaccuracies, oversimplifications, or misleading guidance in AI outputs
- Provide clear, structured feedback that improves the accuracy and applicability of AI content
- Work independently and asynchronously on task-based assignments that fit your schedule
- Work independently and asynchronously on task-based assignments that fit your schedule
- 3+ years of hands-on experience in environmental management, conservation, or a related field
- Strong working knowledge of sustainability frameworks, environmental planning, and impact assessment
- Able to critically evaluate written environmental analyses and identify where they fall short
- Comfortable providing detailed, well-organized written feedback
- Self-motivated, reliable, and comfortable working independently
- Self-motivated, reliable, and comfortable working independently
- Master's degree in Environmental Management, Environmental Science, or a related discipline
- Experience with environmental policy, regulatory compliance, or EIA frameworks
- Familiarity with AI tools or content evaluation workflows
- Familiarity with AI tools or content evaluation workflows
- Work on cutting-edge AI projects with top research labs and make a real difference in how AI handles environmental topics
- Fully remote and flexible — work on your own schedule, wherever you are
- Freelance perks: autonomy, variety, and global collaboration
- Gain firsthand exposure to advanced large language models (LLMs) and how they're trained
- Potential for ongoing work and contract extension
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