engineering
Posted Feb 12Nuclear Engineering Specialist - Freelance AI Trainer Project
at Agency
PhilippinesOn-site
Requirements
- Are you a nuclear engineering 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 streamline lab work for scientists everywhere.
- That training data begins with you—we need your expertise to help power the next generation of AI.
- You’ll challenge advanced language models on topics like neutron moderation, reactor core design, radiation detection methods, nuclear waste management, probabilistic risk assessment, and nuclear system modeling—documenting every failure mode so we can harden model reasoning.
- A master’s or PhD in nuclear engineering or a closely related field is ideal; peer‑reviewed publications, hands‑on reactor research, nuclear facility experience, or computational modeling projects signal fit.
- Ready to turn your nuclear engineering expertise into the knowledge base for tomorrow’s AI? Apply today and start teaching the model that will teach the world.
- Job title: Nuclear Engineering Specialist – AI Trainer
Benefits
- 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.
- benefits such as health insurance and PTO do not apply.
Additional details
- We’re looking for nuclear engineering specialists who live and breathe reactor physics, radiation transport, nuclear fuel cycle analysis, thermal hydraulics, reactor safety, nuclear materials, radiation shielding, and nuclear instrumentation.
- On a typical day, you will converse with the model on reactor operation scenarios and theoretical nuclear engineering questions, verify factual accuracy and logical soundness, capture reproducible error traces, and suggest improvements to our prompt engineering and evaluation metrics.
- Clear, metacognitive communication—“showing your work”—is essential.