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Alignerr

Environmental Science Expert (Masters/PhDs)

United Kingdom
Posted about 6 hours ago
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Environmental Science Expert (AI Training)

About The Role

What if your expertise in climate modeling, ecology, or sustainability could directly shape how AI understands and reasons about the world's most pressing environmental challenges? We're looking for Environmental Science experts to develop and evaluate advanced problems that train the next generation of AI models — making them smarter, more rigorous, and more scientifically grounded.

This is a fully remote, flexible contract role designed for Masters and PhD-level scientists who want to apply their deep domain knowledge in a meaningful and high-impact way — without leaving their field.

Organization: Alignerr

Type: Hourly Contract

Location: Remote

Commitment: 10–40 hours/week

What You'll Do

  • Design, solve, and review advanced environmental science problems with real-world relevance and scientific depth
  • Apply your expertise in climate modeling, ecology, sustainability, or related areas to build complex, rigorous problem sets
  • Evaluate AI-generated scientific reasoning and outputs for accuracy, clarity, and conceptual soundness
  • Collaborate asynchronously with AI researchers and fellow domain experts to improve model performance
  • Ensure scientific integrity and precision across all deliverables
  • Work independently on task-based assignments — fully on your own 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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Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.

P

Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your 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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It searches the market for you

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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.

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Strong

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.

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Strong

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

  • Master's or PhD in Environmental Science or a closely related field
  • Strong expertise in at least one of: climate modeling, ecology, sustainability, or environmental systems
  • Proficient in Python or R for research or data analysis
  • Exceptional written communicator — you can explain complex science clearly and precisely
  • Detail-oriented with a rigorous, methodical approach to scientific problems
  • Self-motivated and reliable when working independently

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Nice to Have

  • Prior experience with data annotation, data quality assessment, or AI evaluation workflows
  • Background in interdisciplinary environmental research or policy
  • Experience writing for scientific publications, grant proposals, or technical documentation
  • Familiarity with AI tools or machine learning concepts

Why Join Us

  • Work on cutting-edge AI projects alongside leading research labs
  • Fully remote and flexible — work when and where it suits you
  • Freelance autonomy with the structure of meaningful, task-based work
  • Contribute to AI development that could meaningfully advance how technology addresses environmental challenges
  • Potential for ongoing work and contract extension as new projects launch
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Skills

Climate Modeling
Ecology
Sustainability
Environmental Systems
Python
R
Data Analysis
Scientific Communication
Detail-Oriented
Self-Motivated

Location

United Kingdom

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