This role is with Mercor. Mercor uses RippleMatch to find top talent.
Role OverviewMercor is seeking a data-driven analyst to conduct comprehensive failure analysis on AI agent performance across finance-sector tasks. You'll identify patterns, root causes, and systemic issues in our evaluation framework by analyzing task performance across multiple dimensions (task types, file types, criteria, etc.).
Key ResponsibilitiesStatistical Failure Analysis: Identify patterns in AI agent failures across task components (prompts, rubrics, templates, file types, tags)
Root Cause Analysis: Determine whether failures stem from task design, rubric clarity, file complexity, or agent limitations
Dimension Analysis: Analyze performance variations across finance sub-domains, file types, and task categories
Reporting & Visualization: Create dashboards and reports highlighting failure clusters, edge cases, and improvement opportunities
Quality Framework: Recommend improvements to task design, rubric structure, and evaluation criteria based on statistical findings
Stakeholder Communication: Present insights to data labeling experts and technical teams
Statistical Expertise: Strong foundation in statistical analysis, hypothesis testing, and pattern recognition
Programming: Proficiency in Python (pandas, scipy, matplotlib/seaborn) or R for data analysis
Data Analysis: Experience with exploratory data analysis and creating actionable insights from complex datasets
AI/ML Familiarity: Understanding of LLM evaluation methods and quality metrics
Tools: Comfortable working with Excel, data visualization tools (Tableau/Looker), and SQL
Experience with AI/ML model evaluation or quality assurance
Background in finance or willingness to learn finance domain concepts
Experience with multi-dimensional failure analysis
Familiarity with benchmark datasets and evaluation frameworks
2-4 years of relevant experience
We consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request.
Top Skills
Similar Jobs
What you need to know about the Colorado Tech Scene
Key Facts About Colorado Tech
- Number of Tech Workers: 260,000; 8.5% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Lockheed Martin, Century Link, Comcast, BAE Systems, Level 3
- Key Industries: Software, artificial intelligence, aerospace, e-commerce, fintech, healthtech
- Funding Landscape: $4.9 billion in VC funding in 2024 (Pitchbook)
- Notable Investors: Access Venture Partners, Ridgeline Ventures, Techstars, Blackhorn Ventures
- Research Centers and Universities: Colorado School of Mines, University of Colorado Boulder, University of Denver, Colorado State University, Mesa Laboratory, Space Science Institute, National Center for Atmospheric Research, National Renewable Energy Laboratory, Gottlieb Institute
