Environmental Management Scientist Jobs in Toronto, Ontario, Canada
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Toronto, Ontario, Canada
Environmental Management Scientist (AI Training)
Top Benefits
About the role
About The Role
We're looking for 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, policymakers, and practitioners worldwide.
This is a fully remote, flexible contract role where your knowledge genuinely matters — you're not just reviewing content, you're helping AI get environmental science right.
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 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, environmental planning, and impact assessment Able to critically evaluate written environmental analyses with a practiced eye Skilled at delivering detailed, structured, and constructive feedback Self-motivated and comfortable managing your own workload remotely
Nice to Have
Master's degree in Environmental Management, Environmental Science, or a related discipline Experience with environmental policy, regulatory compliance, or permitting frameworks Familiarity with AI systems, content evaluation, or data annotation workflows
Why Join Us
Work on cutting-edge AI projects with top research labs Fully remote and flexible — work on your own schedule, anywhere Freelance perks: autonomy, variety, and global collaboration Contribute to meaningful work that improves how AI handles real environmental challenges Exposure to advanced large language models (LLMs) and how they're trained Potential for ongoing work and contract extension