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- Tasks: Engage with AI models on climate scenarios and improve their reasoning.
- Company: Invisible Expert Marketplace is revolutionising education and research through AI-driven insights.
- Benefits: Enjoy remote work flexibility and competitive pay ranging from $8 to $65 per hour.
- Why this job: Shape the future of AI while making a real impact on environmental innovation.
- Qualifications: A degree in environmental physics or related fields; experience in research or modelling is a plus.
- Other info: This is a contract role, requiring your own secure computer and high-speed internet.
Are you an environmental physics expert eager to shape the future of AI? Large-scale language models are evolving from clever chatbots into powerful engines of scientific discovery. With high-quality training data, tomorrow's AI can democratise world-class education, keep pace with cutting-edge research, and drive environmental innovation for communities worldwide. That training data begins with you—we need your expertise to help power the next generation of AI.
We’re looking for environmental physics specialists who live and breathe:
- Atmospheric dynamics
- Radiation transfer
- Climate modeling
- Fluid mechanics
- Geophysical processes
- Remote sensing
- Hydrological systems
- Energy balance theory
You’ll challenge advanced language models on topics like greenhouse gas fluxes, solar irradiance, boundary-layer physics, pollutant dispersion, ocean–atmosphere interactions, thermodynamic feedback loops, and land surface processes—documenting every failure mode so we can harden model reasoning.
On a typical day, you will converse with the model on real-world climate and environmental scenarios, verify factual accuracy and logical soundness, capture reproducible error traces, and suggest improvements to our prompt engineering and evaluation metrics.
A bachelor's or master's degree in environmental physics, atmospheric science, geophysics, or a related physical science field is ideal; peer-reviewed publications, field research, or simulation/modeling experience signal fit. Clear, metacognitive communication—“showing your work”—is essential.
Ready to turn your environmental physics expertise into the knowledge base for tomorrow's AI? Apply today and start teaching the model that will teach the world.
We offer a pay range of $8-to-$65 per hour, with the exact rate determined after evaluating your experience, expertise, and geographic location. Final offer amounts may vary from the pay range listed above. As a contractor you’ll supply a secure computer and high-speed internet; company-sponsored benefits such as health insurance and PTO do not apply.
Employment type: Contract
Workplace type: Remote
Seniority level: Mid-Senior Level
Job function: Consulting, Training, and Information Technology
Industries: Software Development
Environmental Physics Specialist - AI Trainer employer: Invisible Expert Marketplace
Contact Detail:
Invisible Expert Marketplace Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Environmental Physics Specialist - AI Trainer
✨Tip Number 1
Familiarise yourself with the latest advancements in AI and environmental physics. Understanding how AI models are trained and the specific challenges they face in environmental contexts will help you articulate your insights effectively during discussions.
✨Tip Number 2
Engage with online communities or forums related to environmental physics and AI. Networking with professionals in these fields can provide valuable insights and may even lead to referrals, increasing your chances of landing the job.
✨Tip Number 3
Prepare to demonstrate your metacognitive communication skills. Practice explaining complex concepts in a clear and concise manner, as this will be crucial when interacting with AI models and documenting your findings.
✨Tip Number 4
Stay updated on current environmental issues and research. Being knowledgeable about recent studies and real-world applications will not only enhance your discussions but also show your passion for the field, making you a more attractive candidate.
We think you need these skills to ace Environmental Physics Specialist - AI Trainer
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of the Environmental Physics Specialist - AI Trainer position. Familiarise yourself with key concepts like atmospheric dynamics, climate modelling, and remote sensing.
Tailor Your CV: Highlight your relevant experience in environmental physics, including any peer-reviewed publications or field research. Make sure to emphasise skills that align with the job description, such as metacognitive communication and error analysis.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for environmental physics and AI. Discuss how your expertise can contribute to the development of advanced language models and mention specific areas of interest related to the role.
Proofread Your Application: Before submitting, carefully proofread your application materials. Check for grammatical errors, clarity, and ensure that all information is accurate. A polished application reflects your attention to detail and professionalism.
How to prepare for a job interview at Invisible Expert Marketplace
✨Showcase Your Expertise
Make sure to highlight your knowledge in atmospheric dynamics, climate modelling, and other relevant areas. Prepare specific examples from your experience that demonstrate your understanding of these concepts.
✨Communicate Clearly
Since clear communication is essential for this role, practice explaining complex ideas in simple terms. This will help you convey your thoughts effectively during the interview.
✨Prepare for Technical Questions
Expect questions related to environmental physics and AI training. Brush up on key topics like greenhouse gas fluxes and pollutant dispersion, and be ready to discuss how you would approach training an AI model in these areas.
✨Demonstrate Problem-Solving Skills
Be prepared to discuss how you would document failure modes and suggest improvements. Think of past experiences where you identified issues and implemented solutions, as this will show your analytical skills.
