/Environmental Management Scientist (AI Training)

Environmental Management Scientist (AI Training)

United StatesRemoteusvia direct
// Job Type
Full Time
// Salary
Not disclosed
// Posted
1 month ago
// Work Mode
remote

About the Role

About the Role

We're looking for environmental management professionals to help shape how AI understands sustainability, conservation, and environmental decision-making. Your real-world expertise will directly influence how cutting-edge AI systems reason about land-use planning, impact mitigation, and resource management — work that matters well beyond the screen.

  • 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 outputs and real-world environmental practice
  • Provide clear, structured feedback to improve the accuracy and applicability of AI responses
  • Work independently and asynchronously to complete task-based assignments on your own schedule
Who You Are
  • 3+ years of experience in environmental management, conservation, or a closely related field
  • Strong working knowledge of sustainability frameworks, environmental planning, and impact assessment
  • Able to critically evaluate written environmental analyses with a practiced eye
  • Comfortable providing detailed, structured written feedback
  • Self-motivated and reliable — you can manage your time and meet deadlines independently
Nice to Have
  • Master's degree in Environmental Management, Environmental Science, or a related discipline
  • Experience with environmental policy, regulatory compliance, or EIA frameworks
  • Familiarity with AI systems, content evaluation, or data annotation workflows
Why Join Us
  • Work on meaningful AI projects — your environmental expertise directly improves how AI handles real-world sustainability challenges
  • Fully remote and flexible — work on your own schedule, wherever you are
  • Exposure to cutting-edge AI — gain rare insight into how large language models are trained and evaluated
  • Autonomy and variety — no two days look the same; engage with diverse environmental scenarios and topics
  • Potential for ongoing work — strong contributors are considered for contract extensions and future projects
  • Global collaboration — connect with a network of subject-matter experts across disciplines and regions

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