Statistical Data Analyst – $120/hr

Mercor; Remote; EUR 40.000 - 60.000; Vollzeit

Zusammenfassung

A leading AI research firm is seeking an AI Task Evaluation & Statistical Analysis Specialist to conduct statistical analysis and improve AI model evaluations. The ideal candidate has expertise in statistical methods, proficiency in Python or R, and experience in data analysis. The role is fully remote and offers a competitive hourly rate ranging from $100 to $120. Interested applicants should be ready for a quick application process involving a resume upload and an AI interview.

Qualifikationen

• Strong foundation in statistical analysis and hypothesis testing.
• Proficiency in Python or R for data analysis.
• Experience with exploratory data analysis.

Aufgaben

• Conduct comprehensive statistical failure analysis of AI agents.
• Perform root cause analysis of task design or rubric clarity.
• Create dashboards and reports to highlight failure clusters.

Kenntnisse

Statistical Expertise

Programming in Python

Data Analysis

AI/ML Familiarity

Proficiency with Excel

Tools

pandas

scipy

matplotlib/seaborn

Tableau

SQL

Jobbeschreibung

Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.

Position

AI Task Evaluation & Statistical Analysis Specialist

Type

Contract

Compensation

$100–$120/hour

Location

Remote

Role Responsibilities

• Conduct comprehensive statistical failure analysis to identify patterns in AI agent failures across task components such as prompts, rubrics, and templates.
• Perform root cause analysis to determine if failures are due to task design, rubric clarity, file complexity, or agent limitations.
• Analyze performance variations across finance sub-domains, file types, and task categories to enhance understanding of AI model performance.
• Create dashboards and reports to highlight failure clusters, edge cases, and improvement opportunities.
• Recommend improvements to task design, rubric structure, and evaluation criteria based on statistical findings.
• Present insights to data labeling experts and technical teams to foster collaboration and drive improvements.

Qualifications

Must-Have

• 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

• 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.

Application Process (Takes 20–30 mins to complete)

• Upload resume
• AI interview based on your resume
• Submit form

Resources & Support

• For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome/welcome
• For any help or support, reach out to: [e-mail]

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.