AI Trainer (Engineering Sciences)

What You'll Do6

• Design realistic computational engineering problems that test the limits of advanced AI models.
• Write clear task instructions, build reproducible environments, and provide reference solutions and evaluation criteria.
• Review model-produced code, calculations, simulations, designs, and technical deliverables for accuracy.
• Identify where models fail and define what a correct answer looks like.
• Validate technical results to ensure they are reproducible and well-documented.
• Apply your engineering specialization to create tasks that reflect real-world complexity.

Requirements6

• Paid experience training, evaluating, benchmarking, or improving AI systems on engineering or technical tasks.
• Deep knowledge in at least one engineering field such as mechanical, aerospace, electrical, chemical, civil, manufacturing, robotics, energy systems, or biomedical engineering.
• Strong programming or scripting skills, with Python preferred.
• Hands-on use of computational methods for analysis, simulation, modeling, optimization, testing, automation, or data processing.
• Track record of producing or validating technical results that are clear and reproducible.
• Ability to provide public evidence of skill, such as production designs, validated simulations, diagnosed failures, patents, publications, open-source contributions, or reproducible notebooks.

Preferred Qualifications6

• Experience creating AI-training tasks, reference solutions, rubrics, graders, or benchmark problems.
• Experience reviewing other AI trainers' technical submissions.
• A master's degree, PhD, or substantial professional experience in a relevant engineering discipline.
• Familiarity with command-line tools, scripting interfaces, configuration files, solver APIs, or programmatic engineering software.
• Experience validating computational results against calculations, simulations, measurements, or physical tests.
• Prior work with long-horizon or agentic AI evaluations.

Who Should Apply

Computational engineers with paid AI-training or model-evaluation experience who can design rigorous technical tasks and assess model outputs. You should have deep expertise in one engineering specialization, strong Python skills, and a portfolio of reproducible technical work.

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