Engineering AI Research Fellow

Engineering professionals apply their domain expertise to design prompts, evaluate model outputs, and improve the performance of large language models on engineering problems. This part-time, remote role emphasizes independent, primarily asynchronous work on short-term, project-based tasks across engineering disciplines.

• Develop domain-specific prompts and test cases for engineering topics.
• Review and evaluate LLM responses for technical accuracy, clarity, and safety.
• Conduct independent research on engineering topics, using AI tools to augment your work.
• Document findings, edge cases, and recommended corrections to model behavior.
• Collaborate asynchronously with project teams and AI researchers as needed.

• Master''s students or graduates in Engineering.
• Comfortable with primarily asynchronous work and independent task execution.
• Confident that your subject-matter expertise can exceed current AI systems in explaining and reasoning about engineering concepts.
• Willingness to learn new skills while contributing to AI development across disciplines.
• Ability to communicate technical feedback clearly and concisely.

• Location: Remote, asynchronous, work from anywhere.
• Employment type: Part-time.
• Hours: Flexible, there is no minimum hourly commitment.
• Work is project-based and placement onto specific projects depends on project availability.
• The program runs year-round, however available projects will vary by engineering domain.

• Up to $55/hr (depending on the project)

• F-1 students who are eligible for CPT or OPT may be able to participate, subject to your school policies. Work with your Designated School Official to confirm eligibility.
• If your school requires enrollment in a specific CPT course for authorization, these projects may not satisfy that course requirement.
• STEM OPT is not supported for these projects.
• Refer to the program help documentation or your school for additional details on acceptable work authorizations.

• Create an account and complete any requested profile information.
• Complete identity verification as required for participation.
• Browse available engineering projects, join relevant ones, and complete the onboarding steps for each project.
• Begin contributing to project tasks and receive payment for completed work.