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
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Data Science Expert - Evaluation Specialist employer: Mercor
Mercor is an exceptional employer that champions innovation and creativity in the AI sector, offering a fully remote work environment that promotes flexibility and independence. With a strong focus on employee growth, team members are encouraged to take ownership of their projects while benefiting from a supportive culture that values collaboration and continuous learning. Joining Mercor means being part of a forward-thinking company backed by industry leaders, where your contributions directly impact cutting-edge search technologies.
