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Alignerr

Natural Resource Conservation Scientist

Manchester
$30 – $55/hr
Posted 7 days ago
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Natural Resource Conservation Scientist (AI Training)

About the Role

What if your expertise in ecosystems, land management, and conservation could help shape how AI understands the natural world? We're looking for experienced natural resource conservation scientists to evaluate and improve AI systems trained on environmental science content — ensuring these powerful tools reflect accurate, real-world conservation knowledge.

This is a fully remote, flexible contract role where your scientific judgment directly influences the quality of next-generation AI.

Organization: Alignerr (Powered by Labelbox) Type: Hourly / Task-Based Contract Location: Remote Commitment: 10–40 hours/week


What You'll Do

You’ll work on the following critical tasks:

  • Review conservation science questions, scenarios, and AI-generated content for scientific accuracy
  • Evaluate AI outputs related to:
    • Land use
    • Ecosystems
    • Soil health
    • Water systems
    • Biodiversity
  • Assess whether AI-generated conservation recommendations reflect sound, real-world practices
  • Identify gaps, errors, or misleading reasoning in AI-generated environmental science content
  • Provide structured, detailed feedback to improve:
    • AI scientific reasoning
    • AI outputs
  • Collaborate on task-based assignments while working independently and asynchronously—complete tasks at your own pace and on your schedule

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Graduate Consultant — 2026 Scheme

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£35,000/yr

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Who You Are

We’re looking for candidates with the right qualifications:

Core Requirements

  • 3+ years of professional experience in:

    • Natural resource conservation
    • Land management
    • Environmental science
  • Strong foundational knowledge of:

    • Ecosystems
    • Conservation principles
    • Applied land management
  • Ability to critically evaluate:

    • Scientific reasoning
    • Applied recommendations with clarity

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  • Comfort reviewing structured written content and providing thorough, constructive feedback

  • Self-motivated and reliable when working independently in a remote environment

Nice to Have

  • Master’s degree or PhD in:

    • Natural Resources
    • Environmental Science
    • Ecology (or a related field)
  • Hands-on experience in:

    • Fieldwork
    • Applied conservation
  • Familiarity with:

    • AI systems
    • Content evaluation processes
    • Annotation workflows

Why Join Us

  • Contribute to cutting-edge AI projects with direct real-world environmental impact
  • Enjoy full remote flexibility—work at your own schedule and pace
  • Enjoy freelance perks including:
    • Autonomy
    • Work variety
    • Access to a global expert community
  • Help shape how AI reasons about conservation and the natural world
  • Potential for ongoing work and contract extension with the organisation
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Skills

Natural Resource Conservation
Land Management
Environmental Science
Ecosystems
Conservation Principles
Scientific Reasoning
Feedback
Remote Work
Critical Evaluation
Applied Recommendations
Soil Health
Water Systems
Biodiversity
AI Systems
Content Evaluation
Annotation Workflows

Location

Manchester, England, United Kingdom

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