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- Tasks: Evaluate AI models using your environmental expertise and ensure scientific accuracy.
- Company: Join a leading network focused on sustainability and AI innovation.
- Benefits: Earn $45–$90 per hour for impactful work in a flexible, remote setting.
- Other info: Opportunity to work with cutting-edge AI and contribute to global sustainability efforts.
- Why this job: Make a difference in climate science while shaping the future of AI technology.
- Qualifications: Degree in Environmental Science or related field; experience in climate research preferred.
The predicted salary is between 36000 - 72000 £ per year.
We’re looking for Environmental Researchers and Sustainability Experts to join our Expert Network to help train and evaluate cutting-edge AI models using real-world ecological and climate expertise. If you have the necessary experience, we’ll send you a quick 10- to 15-minute test to assess your skills and suitability for AI tasks. If successful, you’ll be invited to join Prolific as a participant, where you’ll get paid to train and evaluate powerful AI models. Researchers looking for your skills typically pay up to $45–$90 per hour. You must be prepared to complete paid tasks that require one hour of uninterrupted work, though many are shorter.
What you’ll bring:
- Education: a BS, MS, or PhD in Environmental Science, Ecology, Climate Science, Environmental Engineering, or a related field.
- Professional Experience: experience in environmental impact assessment (EIA), climate modeling, conservation research, or corporate sustainability reporting (ESG).
- Domain Knowledge: deep understanding of carbon accounting, biodiversity metrics, renewable energy systems, or environmental policy.
- Analytical Precision: the ability to identify errors in climate data interpretations, carbon footprint calculations, or ecological taxonomies.
- Geospatial & Statistical Literacy: proficiency in interpreting GIS data, satellite imagery, and longitudinal environmental datasets.
- Communication: ability to synthesize complex environmental regulations or scientific findings into clear, actionable, and technically accurate summaries.
- PayPal account to receive payment from our clients.
What you’ll be doing in the role:
- Evaluate AI-Generated Research: review model responses to queries about climate change, ecosystem services, and resource management for scientific accuracy and nuance.
- Fact-Check Environmental Claims: validate AI-generated data regarding emissions factors, legislative requirements, and environmental protection standards.
- Assess Sustainability Logic: critique AI-proposed solutions for waste reduction, supply chain sustainability, and habitat restoration for practical and scientific feasibility.
- Annotate Geospatial & Technical Data: identify and correct errors in model-generated maps, environmental risk assessments, and species distribution models.
- Ensure Policy Alignment: verify that AI responses align with the latest international environmental standards and scientific consensus (e.g., IPCC reports).
Environmental Research - Graduates - AI Training - UK employer: Prolific Academic Ltd
Contact Detail:
Prolific Academic Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Environmental Research - Graduates - AI Training - UK
✨Tip Number 1
Network like a pro! Reach out to professionals in the environmental field on LinkedIn or at local events. We can’t stress enough how valuable connections can be when it comes to landing that dream job.
✨Tip Number 2
Prepare for interviews by brushing up on your knowledge of current environmental issues and AI applications. We recommend practising common interview questions with a friend to boost your confidence and articulate your expertise.
✨Tip Number 3
Showcase your skills through a portfolio! If you’ve worked on relevant projects, compile them into a neat presentation. We love seeing real-world applications of your knowledge, so make sure to highlight your best work.
✨Tip Number 4
Don’t forget to apply through our website! It’s the easiest way to get noticed by recruiters. We’re always on the lookout for passionate individuals ready to make an impact in environmental research and sustainability.
We think you need these skills to ace Environmental Research - Graduates - AI Training - UK
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your relevant experience in environmental science and sustainability. We want to see how your background aligns with the role, so don’t be shy about showcasing your skills!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about environmental research and how your expertise can contribute to our AI training efforts. Keep it engaging and to the point.
Showcase Your Analytical Skills: Since we’re looking for precision in data interpretation, include examples of your analytical work. Whether it’s climate modelling or carbon accounting, let us know how you’ve tackled complex problems in the past.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the easiest way for us to receive your application and ensures you don’t miss out on any important updates from our team!
How to prepare for a job interview at Prolific Academic Ltd
✨Know Your Stuff
Make sure you brush up on your knowledge of environmental science, climate modelling, and sustainability practices. Be ready to discuss specific projects or experiences that showcase your expertise in these areas.
✨Showcase Your Analytical Skills
Prepare to demonstrate your analytical precision by discussing how you've identified errors in data interpretations or improved processes in past roles. Use examples that highlight your proficiency with GIS data and environmental datasets.
✨Communicate Clearly
Practice explaining complex environmental concepts in simple terms. You might be asked to summarise scientific findings or regulations, so being able to communicate clearly and effectively is key.
✨Familiarise Yourself with AI Applications
Since the role involves evaluating AI-generated research, it’s a good idea to understand how AI models work in the context of environmental research. Brush up on recent advancements in AI related to climate science and be prepared to discuss them.