Alignerr
Natural Resource Conservation Scientist

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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
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
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Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
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Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
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
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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
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
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