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.
This role emphasizes independent judgment, reproducibility, and transparent communication to executive stakeholders, with emphasis on
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📌 Data Science Quality Architect for AI Evaluation (Quebec City)
🏢 Obsidian
📍 Quebec City
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