Job Description: AI Task Evaluation & Statistical Analysis Specialist

Role Overview

We're 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 Responsibilities

• Statistical 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

Required Qualifications

• 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

Preferred Qualifications

• 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.

Contract and Payment Terms

• You will be engaged as an independent contractor.
• This is a fully remote role that can be completed on your own schedule.
• Projects can be extended, shortened, or concluded early depending on needs and performance.
• Your work at Mercor will not involve access to confidential or proprietary information from any employer, client, or institution.
• Payments are weekly on Stripe or Wise based on services rendered.
• Please note: We are unable to support H1-B or STEM OPT candidates at this time.

About Mercor

Mercor partners with leading AI labs and enterprises to train frontier models using human expertise. You will work on projects that focus on training and enhancing AI systems. You will be paid competitively, collaborate with leading researchers, and help shape the next generation of AI systems in your area of expertise.