Data Science AI Response Evaluator

The work

You will create realistic data science problems and scenarios, then assess how well AI-generated answers handle real modeling, analysis, experimentation, and feature engineering work. You will judge technical accuracy, practical feasibility, and fit with professional or research settings.

The work is remote and asynchronous. You will complete project tasks independently and provide clear written feedback that helps improve AI model performance.

• Create data science problems and scenarios based on real modeling, analysis, experimentation, and feature engineering tasks.
• Evaluate AI-generated responses for technical accuracy and practical feasibility.
• Assess whether responses reflect how data science is practiced in professional or research settings.
• Write structured feedback to help improve AI model performance.

What it pays and takes

This is an ongoing, project-based contractor opportunity designed to fit alongside a current role. It is part-time and requires at least 20 hours per week, with no set schedule.

• Pay: $120 per hour.
• Work arrangement: Remote, part-time, project-based, and asynchronous.
• Time requirement: 20 or more hours per week.
• Location: Open to candidates in the United States.
• Language: Fluent English.
• 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.
• Technical background: Depth in machine learning and applied ML, statistical modeling and experimentation, or large-scale data analysis and feature engineering.
• Skills: Strong written communication, close attention to detail, and the ability to explain complex data science concepts clearly.
• Work style: Able to work independently in a remote, asynchronous environment.
• Helpful background: Experience with A/B testing, causal inference, model development, statistical analysis, or production-scale feature engineering.
• Experience at a recognized technology company may strengthen your background for this work.

How it works

Apply on OpenTrain with your resume, then complete the application on the hiring site.

About AI training work

AI training work uses human-written examples, evaluations, and feedback to improve how AI systems respond. Data science experts are needed to create realistic problems and judge whether model answers are accurate, useful, and technically sound.

OpenTrain is a free platform where people discover AI training and data-labeling projects, build a profile, and start applications.