Engineering Specialist - AI Trainer

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July 4

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Invisible Technologies Inc.

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Artificial Intelligence • SaaS • Enterprise

Invisible Technologies Inc. is a rapidly growing company that integrates world-leading AI with global human talent to enable AI adoption for enterprises. By combining artificial intelligence with human expertise in an integrated platform, Invisible Technologies focuses on training AI models, automating processes, and enhancing digital operations. The company's services include AI training, enablement, and intelligent operations solutions, catering to various industries such as financial services, healthcare, eCommerce, and technology. With significant growth recognized by the Deloitte Technology Fast 500 in 2024, Invisible Technologies helps organizations achieve transformational outcomes and significant ROI through expert process automation and AI solutions.

51 - 200 employees

Founded 2015

🤖 Artificial Intelligence

☁️ SaaS

🏢 Enterprise

📋 Description

• Are you an engineering expert eager to shape the future of AI? • Large‑scale language models are evolving from clever chatbots into powerful engines of scientific discovery. • We need your expertise to help power the next generation of AI. • We’re looking for engineering specialists who live and breathe mechanical engineering, civil engineering, electrical engineering, aerospace engineering, chemical engineering, software engineering, industrial engineering, systems engineering, structural engineering, and materials science. • You’ll challenge advanced language models on topics like thermodynamics, fluid dynamics, structural integrity, control systems, robotics, circuit design, heat transfer, material properties, process optimization, and engineering simulations—documenting every failure mode so we can harden model reasoning. • On a typical day, you will converse with the model on real-world engineering scenarios, verify factual accuracy and logical soundness, capture reproducible error traces, and suggest improvements to our prompt engineering and evaluation metrics. • Ready to turn your engineering expertise into the knowledge base for tomorrow’s AI? Apply today and start teaching the model that will teach the world.

🎯 Requirements

• A master’s or PhD in engineering or a closely related engineering field is ideal; • Peer‑reviewed publications, industry experience, or hands-on engineering projects signal fit. • Clear, metacognitive communication—“showing your work”—is essential.

🏖️ Benefits

• Company‑sponsored benefits such as health insurance and PTO do not apply. • Supply a secure computer and high‑speed internet.