Electrical Engineering Researcher

Electrical engineering researchers apply expertise in signal processing, systems and control, and research methodology to evaluate AI-generated technical content and provide feedback that improves AI understanding of electrical engineering research.

• Create expert-level training data using research expertise and academic knowledge.
• Assess AI-generated responses for technical accuracy and relevance.
• Provide detailed feedback grounded in electrical engineering and systems science research practices.

• PhD in Electrical Engineering, Systems Science, or a related field from a top 100 U.S. university.
• Research background in one or more of the following areas: signal processing; audio and speech processing; image and video processing; systems and control.
• Familiarity with arxiv.org, particularly the Electrical Engineering and Systems Science repository, eess.
• Strong written communication, attention to detail, and ability to work independently and asynchronously with AI research teams.
• No prior AI experience is required.

• Remote, flexible, asynchronous hourly contract work.
• No minimum hour requirement. Contributors typically work approximately 5 to 20 hours per week while assigned to an active project.
• Project placement depends on current needs, and qualified applicants may be considered for future projects as they become available.

Up to $75/hr (depending on the project).

• F-1 students eligible for CPT or OPT may be eligible for projects. Consult your Designated School Official to confirm eligibility.
• If your school requires a CPT course, this work may not satisfy the school''s requirements.
• STEM OPT is not supported.

Create an account, complete identity verification, and complete onboarding for relevant projects. Once matched and onboarded, you can begin contributing to assigned work and receiving payment.