Data Scientist | Remote Only

Mercor; United Kingdom; Remote; GBP 100,000 - 125,000; Part time

Job summary

A leading AI research firm is seeking a part-time AI Task Evaluation & Statistical Analysis Specialist to conduct statistical failure analyses and enhance AI model performance. Candidates should have strong skills in statistical analysis and programming, particularly in Python or R. The position is remote, offering a pay range of $100–$120 per hour. Applicants will undergo an AI interview and are encouraged to apply quickly for consideration.

Qualifications

• Strong foundation in statistical analysis, hypothesis testing, and pattern recognition.
• Proficiency in data analysis tools like Python or R.
• Experience with exploratory data analysis and actionable insights.

Responsibilities

• Conduct statistical failure analysis to identify patterns in AI agent failures.
• Perform root cause analysis to examine failures.
• Create dashboards and reports on failure clusters and insights.

Skills

Statistical Expertise

Programming in Python

Data Analysis

AI/ML Familiarity

Tools proficiency (Excel, Tableau, SQL)

Job description

Get AI-powered advice on this job and more exclusive features.

Mercor provided pay range

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

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: 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.

Seniority level

Not Applicable

Employment type

Part-time

Job function

Analyst

Industries

Software Development

Referrals increase your chances of interviewing at Mercor by 2x