Data Science Expert

About this role

**1\. Role Overview** 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. Rather than producing deliverables yourself, you will define what excellent work looks like: designing task-specific grading criteria and scoring completed work samples with rigorous, well-reasoned written justifications. **2\. Key Responsibilities** - Design precise, task-specific grading criteria for real-world data science deliverables (analyses, models, dashboards, experiment readouts, and written recommendations) - Score AI-generated and human work samples against those criteria, with detailed written justifications for every score - Apply consistent, evidence-based judgment so that scores are reproducible and defensible - Incorporate structured feedback from senior reviewers and iterate quickly on your work **3\. Ideal Qualifications** - 5+ years of professional data science experience in industry - Background in business operations, product, or growth data science at top-tier technology companies - Deep fluency in experiment design and A/B testing, metric definition, SQL/Python analysis, and communicating findings to executive stakeholders - Exceptionally strong written communication - Detail-oriented, consistent, and comfortable having your judgment reviewed and calibrated against peers - Prior experience with AI training, evaluation, or human-data projects is a strong plus **4\. Application Process** - Submit your resume or relevant technical background to get started - Qualified applicants may be asked to complete a brief technical assessment or submit additional information

Skills & domains

• ai-training
• rlhf
• sme
• annotation
• Data Analysis