The work
Create challenging questions about machine learning theory and applied mathematics, then judge whether AI-generated answers are technically accurate and logically sound.
Your reviews will cover topics such as optimization, model behavior, generalization, probabilistic modeling, and statistical inference. You will also give clear feedback to help improve AI systems’ technical understanding.
- Write questions grounded in machine learning concepts.
- Review AI responses for accuracy, clear reasoning, and consistency.
- Assess answers about machine learning methods and technical problem-solving.
What it pays and takes
- Pay: Up to $75 per hour.
- Workload: Typically about 5–20 hours per week during active project periods, with no minimum hours.
- Schedule and location: Fully remote and flexible, with asynchronous work.
- Work arrangement: Project-based contract work.
- Education or experience: Doctoral study, postdoctoral work, or graduate-level completion in machine learning or a closely related field.
- Required knowledge: Strong understanding of machine learning theory, algorithm analysis, applied mathematics, optimization, probabilistic modeling, and statistical inference.
- You must be able to assess whether technical explanations are accurate, logically consistent, and well supported.
- Previous AI or technical evaluation experience is not required.
How it works
Apply on OpenTrain with your resume, then complete the application on the hiring site.