Explosive Engineering Specialist - Freelance AI Trainer Project

United StatesOn-site

You are nearing today's limit. Upgrade for unlimited access.

Requirements

Are you an explosive engineering expert eager to shape the future of AI? Large‑scale language models are evolving from clever chatbots into powerful engines of technical understanding.
With high‑quality training data, tomorrow’s AI can democratize world‑class engineering education, support complex research, and optimize operational safety in high-risk environments.
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 charge design, shock dynamics, fragmentation mechanics, high-speed diagnostics, propellant chemistry, and post-blast forensics—documenting every failure mode so we can harden model reasoning.
A PhD in explosive engineering, materials science, mechanical engineering, or a related field is ideal; published research, defense or demolition work, or hands-on detonation testing projects signal fit.
Ready to turn your explosive engineering expertise into the knowledge base for tomorrow’s AI? Apply today and start teaching the model that will teach the world.
Job title: Explosive Engineering Specialist – AI Trainer

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.

We’re looking for explosive engineering specialists who live and breathe energetic materials, blast wave propagation, detonation physics, structural response analysis, initiation systems, explosive ordnance disposal, and safety protocol development.
On a typical day, you will converse with the model on real-world explosive scenarios and theoretical engineering problems, 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.