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

Solid 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

📌 Environmental Management Scientist (AI Training) (Toronto)
🏢 Alignerr
📍 Toronto