Alignerr
Environmental Management Scientist (AI Training)
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Environmental Management Scientist (AI Training)
Opening Role in Environmental AI Evaluation
About The Role
Your expertise in environmental management, sustainability, and land-use planning is in high demand — not just in the field, but in shaping the next generation of AI. We're looking for experienced environmental professionals to help evaluate and improve AI systems trained on sustainability, conservation, and environmental decision-making content.
Your real-world knowledge will directly influence how AI understands and communicates complex environmental topics — making these systems more accurate, practical, and trustworthy.
Organization: Alignerr (Powered by Labelbox)
Type: Hourly contract
Location: Remote
Commitment: 10–40 hours/week
Your Responsibilities
- Review AI-generated environmental management scenarios, analyses, and recommendations for accuracy and real-world applicability
- Evaluate AI reasoning related to:
- Sustainability frameworks
- Impact mitigation
- Resource planning
- Conservation strategies
- Identify gaps between theoretical environmental analysis and actual field practice
- Provide clear, structured feedback to improve the quality and practical usefulness of AI outputs
- Flag misleading, oversimplified, or technically inaccurate environmental content
- Work independently and asynchronously on your own schedule
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Who You Are
Core Requirements
- 3+ years of hands-on experience in:
- Environmental management
- Conservation
- Related field
- Strong working knowledge of:
- Sustainability frameworks
- Environmental planning processes
- Impact assessment methods
- Ability to:
- Critically evaluate written environmental analyses
- Identify both technical and practical shortcomings
- Comfortable providing detailed, well-structured written feedback
- Self-motivated and reliable when working independently
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Nice-to-Have
- Master’s degree in:
- Environmental Management
- Environmental Science
- A related discipline
- Experience with:
- Environmental policy
- Regulatory compliance
- Permitting frameworks
- Familiarity with:
- AI systems
- Content evaluation
- Data annotation workflows
Why Join Us?
- Work on cutting-edge AI projects with top research labs — your domain expertise genuinely matters
- Fully remote and flexible — complete tasks on your own schedule
- 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)
- How they are trained and evaluated
- Potential for ongoing work and contract extension
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