Use your mechanical simulation and CAE expertise to train AI coding systems on complex engineering workflows, debugging, code generation, and architectural changes. This remote contractor role offers $80–$100 per hour and requires 20+ hours weekly.
Coding & Software
$80–$100/hr
Compensation
Worldwide
Eligibility
Entry
Experience
Aug 8, 2026
Posted
Open worldwide
OpenTrain AI is the #1 platform for finding and building careers in AI training and data labeling. We help experts discover opportunities, build a professional profile, and contribute to the development of cutting-edge AI systems. Creating an OpenTrain account is free.
AI training is the human side of building artificial intelligence. Experts prepare examples, evaluate model outputs, and explain how complex professional work should be performed so AI systems can become more capable, reliable, and useful in real-world settings.
OpenTrain AI is recruiting a Mechanical Simulation and CAE AI Training Expert to contribute technical expertise to AI training focused on advanced engineering workflows. You will document how coding agents support complex mechanical simulation and computer-aided engineering tasks, including multi-step reasoning, code generation, large-codebase navigation, debugging, and engineering judgment.
This is a contractor, part-time role listed at the entry level, while the work itself requires extensive hands-on experience in mechanical simulation and CAE-heavy mechanical engineering. Prior AI experience is not required when you bring strong domain expertise in these areas.
You will provide detailed walkthroughs of how AI coding agents are used in complex mechanical simulation and CAE tasks. You will demonstrate and document workflows from problem definition through implementation, debugging, and evaluation.
You will explain the engineering problems and design challenges addressed by AI-generated code sequences, curate representative technical examples, and describe the rationale and complexity behind those examples. You will also assess AI tools in mechanical simulation and CAE and provide clear written and verbal feedback.
The role includes asynchronous collaboration with project leads through effective, precise communication.
You should have extensive practical experience with mechanical engineering simulation and computer-aided engineering workflows. You must be able to apply AI coding agents to ambiguous requirements, large-scale debugging, sophisticated engineering challenges, or architectural changes.
Practical proficiency with Codex, Claude Science, Claude Code, or Claude Cowork as coding sequence generators in technical settings is valuable. You should also be able to translate complex workflows into concise documentation and actionable feedback.
Active involvement in a current STEM field, familiarity with AI-driven engineering tools, and a record of experimenting with and adapting to new technologies are valuable. Experience documenting technical workflows and evaluating technology performance is also helpful.
Prior AI experience is not required if you bring strong mechanical simulation and CAE expertise.
OpenTrain gives specialists a way to build a lasting career in AI training and data labeling. By contributing your mechanical simulation and CAE expertise, you can help shape how AI systems perform advanced engineering work while developing a portfolio that reflects your technical judgment and real-world experience.
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