Data Scientist AI Response Evaluator

You will help improve AI systems by creating realistic data science problems and reviewing the responses they produce. Your feedback should reflect accurate methods, practical feasibility, and the way working data scientists approach real problems.

• Create data science problems and scenarios based on modeling, analysis, and experimentation.
• Review AI-generated responses for technical accuracy and practical feasibility.
• Judge whether model outputs reflect real-world data science practice.
• Write structured feedback that helps improve AI model performance.
• Complete project tasks remotely and asynchronously at your own pace.

This is flexible, part-time, project-based contractor work that can be completed alongside your current role. There is no set schedule or minimum hour requirement.

• Language: Fluent English communication is required.
• Experience: At least one year of professional or research experience with hands-on data science work.
• Education: A bachelor's degree in data science, statistics, mathematics, computer science, or a related field.
• Expertise: Machine learning and applied ML, statistical modeling and experimentation, or data analysis and feature engineering at scale.
• Skills: Strong written communication, close attention to detail, and the ability to explain complex data science ideas clearly.