Job Overview
We are seeking an AI Research Engineer with expertise in various fields to help shape the future of artificial intelligence.
Large-scale language models are evolving from clever chatbots into powerful engines of scientific discovery, requiring high-quality training data to democratize world-class education and streamline engineering design and analysis for professionals everywhere.
As an engineer, you will challenge advanced language models on topics such as 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.
Responsibilities
* Converse with the model on real-world engineering scenarios
* Verify factual accuracy and logical soundness
* Capture reproducible error traces
* Suggest improvements to our prompt engineering and evaluation metrics
A master's or PhD in engineering or a closely related field is ideal; peer-reviewed publications, industry experience, or hands-on engineering projects signal fit. Clear, metacognitive communication is essential.
You will be responsible for teaching the model that will teach the world, using your expertise to create a knowledge base for tomorrow's AI.
Requirements
1. Master's or PhD in engineering or a closely related field
2. Peer-reviewed publications, industry experience, or hands-on engineering projects
3. Strong background in mechanical engineering, civil engineering, electrical engineering, aerospace engineering, chemical engineering, software engineering, industrial engineering, systems engineering, structural engineering, and materials science
This role requires a strong foundation in multiple disciplines, with the ability to apply theoretical concepts to real-world problems.