STEM Professor AI Fellowship - Remote Part-Time

What You'll Do6

• Develop domain-specific prompts that test how large language models reason about topics in your field.
• Evaluate model responses for accuracy, logic, and alignment with accepted scientific knowledge.
• Write structured task instructions and evaluation criteria that other experts can apply.
• Research subjects that interest you, using AI tools as support.
• Identify errors, gaps, or misleading claims in model output.
• Translate complex research concepts into clear prompts and assessment rubrics.

Requirements8

• Hold current or emeritus faculty status as an assistant, associate, or full professor in mathematics, chemistry, biology, physics, or engineering.
• Publish more than five peer-reviewed papers, including at least one from 2025 or 2026.
• Show an H-index above 20 and more than 2,000 total citations.
• Write with enough clarity to turn complex research into structured task instructions and evaluation criteria.
• Demonstrate confidence that your domain knowledge can outmatch current AI systems at explaining key concepts.
• Live in the U.S. and hold valid employment authorization.
• Qualify under eligible work or training status, such as F-1/OPT, J-1, or H-1B, if you are a doctoral student, candidate, or recent graduate.
• Confirm that you do not require an i-983 for STEM OPT, because the program cannot accommodate that case at this time.

Who Should Apply

The role fits faculty in mathematics, chemistry, biology, physics, or engineering who hold current or emeritus status and meet the publication thresholds: more than five peer-reviewed papers, at least one from 2025 or 2026, an H-index above 20, and more than 2,000 citations. Candidates also need strong written communication and confidence that they can explain core concepts better than current AI systems. This work suits U.S.-based academics who want flexible, part-time project work and can commit 10 to 20 hours each week. Researchers below the citation or H-index cutoffs often get filtered out before review, so this role is less suitable for them. A visa that requires an i-983 creates a mismatch, because the program cannot accommodate those candidates at this time.

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