Environmental Science Jobs

Are you a science specialist fluent in French, 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 streamline problem-solving for scientists and learners everywhere. That training data begins with you—we need your expertise to help power the next generation of AI.

We're looking for science specialists who live and breathe physical science, earth science, environmental science, chemistry, physics, astronomy, and scientific literacy. You'll challenge advanced language models on topics like energy transformation, atomic structure, planetary motion, ecological systems, the water cycle, and scientific inquiry—documenting every failure mode so we can harden model reasoning.

On a typical day, you will converse with the model on real-world scenarios and theoretical science questions, verify factual accuracy and logical soundness, capture reproducible error traces, and suggest improvements to our prompt engineering and evaluation metrics.

A bachelor's, master's, or PhD in a science field is ideal; teaching experience, published work, lab or field research, or science communication projects signal fit. Fluency in French and clear, metacognitive communication—"showing your work"—are essential.

Ready to turn your science 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: Science Specialist – AI Trainer (Fluent in French)
Employment type: Contract
Workplace type: Remote
Seniority level: Mid - Senior Level