Environmental Management Scientist (AI Training)
Job Description
About The Role
We're looking for experienced environmental management professionals to help train and improve AI systems that reason about sustainability, land-use planning, and environmental decision-making. Your real-world expertise will directly shape how AI understands and communicates complex environmental concepts — making a meaningful impact on how the next generation of AI handles the planet's most pressing challenges.
We're looking for experienced environmental management professionals to help train and improve AI systems that reason about sustainability, land-use planning, and environmental decision-making. Your real-world expertise will directly shape how AI understands and communicates complex environmental concepts — making a meaningful impact on how the next generation of AI handles the planet's most pressing challenges.
- Organization: Alignerr (Powered by Labelbox)
- Type: Hourly / Task-Based Contract
- Location: Remote
- Commitment: 10–40 hours/week
- 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, depth, and applicability of AI outputs
- Work independently and asynchronously on task-based assignments that fit your schedule
- 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 resource planning
- Able to critically evaluate written environmental analyses and identify weaknesses or inaccuracies
- Comfortable delivering detailed, constructive written feedback
- Self-motivated and reliable when working independently
- 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
- Work on cutting-edge AI projects with top research labs shaping the future of environmental AI
- Fully remote and flexible — work on your own schedule, on your terms
- Freelance perks: autonomy, variety, and global collaboration
- Contribute to meaningful work that helps AI better understand and address real environmental challenges
- Potential for ongoing work and contract extension
More Info
Key Skills
sustainability frameworks
data annotation workflows
permitting frameworks
AI systems content evaluation
About Company