AI and Machine Learning Researcher for AI Evaluation

AI and Machine Learning Researchers apply deep expertise in machine learning and computer science research to evaluate AI-generated outputs and create expert-level training data that improves model understanding of advanced CS and AI/ML research and methodology. This is a part-time, hourly contract engagement that is fully remote and can be done alongside other professional or academic commitments.

• Assess AI-generated content for accuracy, relevance, and alignment with current computer science and AI/ML research.
• Create expert-level training data and annotations derived from your academic and research knowledge.
• Provide detailed feedback to help AI systems better represent cutting-edge research methods, findings, and terminology.
• Work independently and communicate findings and rationale clearly in written form for research teams.

• PhD in Computer Science, Machine Learning, Artificial Intelligence, or a related field from a top 100 U.S. university.
• Research background in one or more of the following areas: Machine Learning or Artificial Intelligence; Computer Vision, Natural Language Processing, or Neural and Evolutionary Computing; Robotics, Systems and Control, or Multiagent Systems.
• Familiarity with arxiv.org, especially the Computing Research Repository (cs).
• Strong written communication skills, attention to detail, and the ability to work asynchronously with distributed research teams.

• Part-time, hourly contract work, fully remote.
• Flexible, asynchronous schedule with no minimum hour requirement; most contributors work approximately 5 to 20 hours per week when participating in an active project.
• This is not a traditional full-time job, it is an ongoing, project-based engagement you can take on alongside other commitments.
• Placement on specific projects depends on current project needs, and contributors may be considered for future projects as they become available.
• No prior AI development experience is required to participate.

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

• F-1 students who are eligible for CPT or OPT may be eligible to participate. Work with your Designated School Official to confirm eligibility.
• If your school requires enrollment in a CPT course, this engagement may not meet that requirement.
• STEM OPT is not supported for this work.
• Consult the program help center or eligibility resources for additional details on supported work authorizations.

• Create an account on the project platform and complete identity verification.
• Onboard into relevant projects by completing any required assessments or training for those projects.
• When matched to a project, begin contributing and you will be paid for hours worked according to the project rate.