Remote AI Trainer — Environmental Physics Specialist

Meridial

United States

Remote

USD 11,020 - 89,544

Part time

14 days+

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Benefits offered by this job

Flexible hours
Opportunity for remote work

Job summary

Meridial is seeking an Environmental Physics Specialist to remotely contribute to AI training projects. This role involves applying expertise in atmospheric dynamics and climate science to help improve AI models.

The ideal candidate will hold a PhD and demonstrate strong metacognitive communication skills. This position offers a flexible hourly pay rate ranging from $8 to $65, influenced by experience and expertise.

Qualifications

  • Ideal candidates will have peer-reviewed publications or field research experience.
  • Experience with simulation/modeling will enhance application suitability.
  • Candidates must demonstrate clear communication skills.

Responsibilities

  • Converse with the model on real-world climate scenarios and verify factual accuracy.
  • Document errors and advise improvements for AI training.
  • Challenge advanced models on environmental topics.

Skills

Atmospheric dynamics
Radiation transfer
Climate modeling
Fluid mechanics
Geophysical processes
Remote sensing
Hydrological systems
Energy balance theory
Metacognitive communication

Education

PhD in environmental physics, atmospheric science, geophysics, or related field

Job description

Environmental Physics Specialist - Freelance AI Trainer Project

United States of America

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 democratize 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, and 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 PhD 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.

Job title: Environmental Physics Specialist – AI Trainer
Employment type: Contract
Workplace type: Remote
Seniority level: Mid‑Senior Level

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