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Environmental Management Scientist (AI Training)
Job description
Environmental Management Scientist (AI Training)
About the Role
We're looking for experienced environmental management professionals to help shape how AI understands sustainability, land-use planning, and environmental decision-making. Your real-world expertise will directly influence the quality and accuracy of AI systems used across the environmental sector — making a tangible impact on how these tools serve practitioners, policymakers, and communities.
- Organization: Alignerr (Powered by Labelbox)
- Type: Hourly 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 outputs and real-world environmental practice
- Provide clear, structured feedback to improve the accuracy, depth, and applicability of AI-generated content
- Work independently and asynchronously — on your schedule, at your pace
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 and spot where AI falls short
- Comfortable delivering detailed, structured written feedback
- Self-motivated and reliable with the ability to meet project deadlines 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 systems, content evaluation, or annotation workflows
Why Join Us
- Work on cutting-edge AI projects with top research labs — at the intersection of environmental science and artificial intelligence
- Fully remote and flexible — complete assignments on your own schedule
- Freelance perks: autonomy, variety, and global collaboration
- Contribute to meaningful work that helps AI reason more accurately about our planet's most pressing challenges
- Potential for ongoing work and contract extension
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