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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 by researchers, planners, and organizations tackling some of the world's most pressing environmental challenges.
This is a fully remote, flexible contract role — work on your own schedule while contributing to 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 environmental models and real-world practice
- Provide clear, structured feedback to improve the accuracy, depth, and applicability of AI outputs
- Flag content that misrepresents environmental standards, regulations, or best practices
- 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 closely related field
- Strong working knowledge of sustainability frameworks, environmental impact assessment, and land-use planning
- Able to critically evaluate written environmental analyses for scientific accuracy and practical relevance
- Skilled at providing detailed, constructive, and well-structured written feedback
- Self-motivated and comfortable working independently in a remote setting
- No prior AI experience required — your domain expertise is what matters
Nice to Have
- Master's degree in Environmental Management, Environmental Science, or a related field
- Experience with environmental policy, regulatory compliance, or permitting frameworks
- Background in conservation planning, ecological restoration, or natural resource management
- Familiarity with AI systems, content evaluation, or annotation workflows
Why Join Us
- Work on cutting-edge AI projects with top research labs and have a direct impact on how AI handles environmental topics
- Fully remote and flexible — work when and where you choose
- Freelance perks: autonomy, variety, and collaboration with a global community of subject-matter experts
- Expand your exposure to large language models and how they're trained and evaluated
- Potential for ongoing work and contract extension as new projects launch
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