AI Evaluation Architect for Data Science Quality

Mercor is partnering with a leading AI research organization to engage experienced data scientists for a project focused on evaluating how well AI systems perform real-world data science work. You will define what excellent work looks like: designing task-specific grading criteria and scoring completed work samples with rigorous, well-reasoned written justifications.

Key responsibilities include designing grading criteria, scoring both AI-generated and human samples, applying evidence-based

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