Hardware Engineering Expert - Remote AI Fellowship

What You'll Do5

• Create domain-specific prompts that test an LLM on hardware engineering concepts and edge cases.
• Review model outputs for technical accuracy, reasoning gaps, and clarity, then document findings.
• Research specialized engineering topics with AI tools to build reference material for model improvement.
• Work async with AI lab partners and share subject-matter feedback across disciplines.
• Track project instructions and adapt to changing domain needs as new assignments open.

Requirements6

• Bachelor's degree in industrial, mechanical, aerospace, or materials engineering, or current junior or senior standing in one of those fields.
• Enrollment at or graduation from a top 20 U.S. undergraduate institution.
• U.S. work or training authorization such as F-1/OPT, J-1, or H-1B.
• Readiness for async, remote collaboration with AI research labs.
• Confidence that your engineering expertise can surpass current AI systems in explaining core concepts.
• Candidates on STEM OPT who need an i-983 cannot join at this time; approved i-983s, pre-grad OPT, CPT, J-1, and H-1B are eligible.

Who Should Apply

The strongest fit is an engineering student or recent graduate from a top 20 undergrad program, with a degree in industrial, mechanical, aerospace, or materials engineering, who can work 10 to 20 hours each week on a self-set schedule. You need U.S. work authorization and comfort with async collaboration with AI labs. Candidates who apply with a degree outside those four fields, or who attended a school outside the top 20, often miss the first screening cut. Another common low-fit signal is an inability to give concrete examples of how your domain expertise beats an LLM at explaining technical concepts. Anyone who needs an i-983 for STEM OPT should skip this listing unless they hold an approved i-983.

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