Environmental Management Scientist (AI Training)

About The Role We're looking for environmental management professionals to play a hands-on role in shaping how AI understands sustainability, land-use planning, and environmental decision-making. Your field expertise will directly influence the quality and accuracy of next-generation AI systems — helping ensure they reflect real-world environmental practice, not just theory. This is a flexible, fully remote contract role designed to fit around your schedule. Organization: Alignerr (Powered by Labelbox) Type: Hourly / Task-based Contract Location: Remote Commitment: 10–40 hours/week What You'll Do Review AI-generated environmental management scenarios, analyses, and recommendations for accuracy and real-world applicability Evaluate AI reasoning related to sustainability frameworks, impact mitigation, and resource planning Identify gaps between theoretical environmental models and on-the-ground practice Provide clear, structured feedback that improves the quality and reliability 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 principles, and impact assessment Skilled at critically evaluating written environmental analyses and identifying weaknesses Clear and structured communicator who can translate expert judgment into actionable feedback Self-motivated and comfortable working independently in a remote, async environment 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 data annotation workflows Why Join Us Work on cutting-edge AI projects with top research labs shaping the future of sustainability intelligence Fully remote and flexible — set your own hours and work from anywhere Freelance perks: autonomy, variety, and collaboration with a global community of experts Contribute to meaningful work that improves how AI handles real environmental challenges Potential for ongoing work and contract extension

Review and evaluate AI-generated environmental scenarios and recommendations to ensure real-world applicability and accuracy. Provide structured feedback to improve AI reasoning regarding sustainability frameworks and resource planning.

Requires at least 3 years of hands-on experience in environmental management or conservation. Candidates must be skilled in critically evaluating written analyses and communicating expert judgment in a remote, asynchronous environment.

• Autonomy • Variety • Collaboration with a global community of experts

Relevées dans la description du poste. Confirmez les exigences importantes ci-dessus.

• Environmental Management
• Sustainability Frameworks
• Land-use Planning
• Environmental Impact Assessment
• Content Evaluation
• Data Annotation
• Environmental Policy
• Regulatory Compliance
• Critical Analysis
• Technical Writing

• Environmental & Sustainability
• Science & Research
• Technology
• Data & Analytics
• Consulting

Formation minimale

Maîtrise

Expérience minimale

2+ ans

Postuler avant le

12 sept. 2026

Langue de l’offre

anglais

Heures de travail

40 heures par semaine

Exigences de lieu

Country, Vancouver, British Columbia, Canada

Niveau d’expérience

Mid-Senior level