Data Scientist | Remote Position

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This range is provided by Mercor. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$100.00/hr - $120.00/hr

Direct message the job poster from Mercor

About The Job

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

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