engineering
Posted Feb 12Explosive Engineering Specialist - Freelance AI Trainer Project
at Agency
United StatesOn-site
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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
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 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.